On Modeling and Diagnosis of Friction and Wear in Industrial Robots
暂无分享,去创建一个
[1] Janne Harju Johansson,et al. A Structure Utilizing Inexact Primal-Dual Interior-Point Method for Analysis of Linear Differential Inclusions , 2008 .
[2] Ola Härkegård,et al. Flight Control Design using Backstepping , 2001 .
[3] O. Cappé,et al. On‐line expectation–maximization algorithm for latent data models , 2009 .
[4] Libor Preucil,et al. European Robotics Symposium 2008 , 2008 .
[5] A. C. Bittencourt,et al. Static Friction in a Robot Joint—Modeling and Identification of Load and Temperature Effects , 2012 .
[6] Frida Gunnarsson. On Modeling and Control of Network Queue Dynamics , 2003 .
[7] Jonas Elbornsson,et al. Equalization of Distortion in A/D Converters , 2001 .
[8] Jun Wu,et al. Review: An overview of dynamic parameter identification of robots , 2010 .
[9] Krister Edström,et al. Simulation of Mode Switching Systems Using Switched Bond Graphs , 1996 .
[10] Kemin Zhou,et al. Optimal robust fault detection for linear discrete time systems , 2007, 2007 46th IEEE Conference on Decision and Control.
[11] Anders Skeppstedt. Construction of composite models from large data-sets , 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.
[12] Predrag Pucar. Modeling and Segmentation using Multiple Models , 1995 .
[13] A. O'Hagan,et al. Probabilistic sensitivity analysis of complex models: a Bayesian approach , 2004 .
[14] Alessandro De Luca,et al. An adapt-and-detect actuator FDI scheme for robot manipulators , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[15] J. Sjöberg. Regularization Issues in Neural Network Models of Dynamical Systems , 1993 .
[16] Koji Kato,et al. Wear in relation to friction — a review , 2000 .
[17] Andreas Eidehall,et al. An Automotive Lane Guidance System , 2004 .
[18] J. Plantin. Algebraic Methods for Verification and Control of Discrete Event Dynamic Systems , 1995 .
[19] Fredrik Lindsten,et al. Particle filters and Markov chains for learning of dynamical systems , 2013 .
[20] D. Dowson. History of Tribology , 1979 .
[21] Anders Robertsson,et al. On force control for assembly and deburring of castings , 2013, Prod. Eng..
[22] K. Forsman. Applications of Constructive Algebra to Control Problems , 1990 .
[23] Zhihua Qu,et al. Nanotribology and nanoscale friction , 2008, IEEE Control Systems.
[24] P. Frank,et al. Survey of robust residual generation and evaluation methods in observer-based fault detection systems , 1997 .
[25] M. Enqvist. Some Results on Linear Models of Nonlinear Systems , 2003 .
[26] Erik Wernholt,et al. Multivariable Frequency-Domain Identification of Industrial Robots , 2007 .
[27] Antonella Ferrara,et al. Fault Detection for Robot Manipulators via Second-Order Sliding Modes , 2008, IEEE Transactions on Industrial Electronics.
[28] Ronald G.K.M. Aarts,et al. VELOCITY DEPENDENCE OF JOINT FRICTION IN ROBOTIC MANIPULATORS WITH GEAR TRANSMISSIONS , 2005 .
[29] Mille Millnert,et al. Vehicle size and orientation estimation using geometric fitting , 2001 .
[30] I. Klein. Planning for a Class of Sequential Control Problems , 1989 .
[31] Fredrik Gustafsson,et al. Adaptive filtering and change detection , 2000 .
[32] Marcel Staroswiecki,et al. Conflicts versus analytical redundancy relations: a comparative analysis of the model based diagnosis approach from the artificial intelligence and automatic control perspectives , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[33] Jonathan R. Partington,et al. On linear models for nonlinear systems , 2003, Autom..
[34] Torgny Brogårdh,et al. Present and future robot control development - An industrial perspective , 2007, Annu. Rev. Control..
[35] H. Fortell. Volterra and Algebraic Approaches to the Zero Dynamics , 1994 .
[36] Krister Forsman,et al. Data Mining of Historic Data for Process Identification , 2011 .
[37] Han Me Kim,et al. Precise friction control for the nonlinear friction system using the friction state observer and sliding mode control with recurrent fuzzy neural networks , 2009 .
[38] V. F. Filaretov,et al. Observer-based fault diagnosis in manipulation robots , 1999 .
[39] M. Spong. Modeling and Control of Elastic Joint Robots , 1987 .
[40] David Törnqvist,et al. Statistical Fault Detection with Applications to IMU Disturbances , 2006 .
[41] Christian Lundquist,et al. Sensor fusion for automotive applications , 2011 .
[42] Alf Isaksson. Identification of Time Varying Systems and Application of System Identification to Signal Processing , 1986 .
[43] M. Zuo,et al. Gearbox fault detection using Hilbert and wavelet packet transform , 2006 .
[44] M. Jirstrand. Algebraic Methods for Modeling and Design in Control , 1996 .
[45] Xiaobo Li,et al. Fault detection filter design for linear systems , 2009 .
[46] Max B. Mendel,et al. An engineering basis for statistical lifetime models with an application to tribology , 1996, IEEE Trans. Reliab..
[47] Rolf Isermann. Model-based fault-detection and diagnosis - status and applications § , 2004 .
[48] Tomy Sebastian,et al. Temperature effects on torque production and efficiency of PM motors using NdFeB magnets , 1993, Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.
[49] Anders Helmersson,et al. Methods for robust gain scheduling , 1995 .
[50] Ingela Lind. Regressor Selection in System Identification using ANOVA , 2001 .
[51] M. Wand,et al. EXACT MEAN INTEGRATED SQUARED ERROR , 1992 .
[52] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[53] Mikael Tenerz. Parameter Estimation in a Permanent Magnet Synchronous Motor , 2011 .
[54] A. Bowman,et al. A look at some data on the old faithful geyser , 1990 .
[55] N. Bergman. Bayesian Inference in Terrain Navigation , 1997 .
[56] Magnus Andersson. Experimental Design and Updating of Finite Element Models , 1997 .
[57] Peter Funk,et al. Fault diagnosis in industry using sensor readings and case-based reasoning , 2004, J. Intell. Fuzzy Syst..
[58] Michèle Basseville,et al. On fault detectability and isolability , 1999, 1999 European Control Conference (ECC).
[59] M. Indri,et al. Friction Compensation in Robotics: an Overview , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.
[60] Abteilung Elektrotechnik,et al. Fault detection and isolation in nonlinear systems: observer and energy-balance based approaches , 2011 .
[61] Jonas Gillberg,et al. Methods for Frequency Domain Estimation of Continuous-Time Models , 2004 .
[62] Karl Granstrom,et al. Loop detection and extended target tracking using laser data , 2011 .
[63] G. Hendeby,et al. Fundamental Estimation and Detection Limits in Linear Non-Gaussian Systems , 2005 .
[64] Bernhard Schölkopf,et al. Estimating the Support of a High-Dimensional Distribution , 2001, Neural Computation.
[65] Raghunathan Rengaswamy,et al. A review of process fault detection and diagnosis: Part III: Process history based methods , 2003, Comput. Chem. Eng..
[66] Ligang Wu,et al. Mixed H2/H∞ approach to fault detection of discrete linear repetitive processes , 2011, J. Frankl. Inst..
[67] Rickard Karlsson,et al. Simulation Based Methods for Target Tracking , 2002 .
[68] Samir Kouro,et al. Unidimensional Modulation Technique for Cascaded Multilevel Converters , 2009, IEEE Transactions on Industrial Electronics.
[69] B. J. Roylance,et al. Ferrography—then and now , 2005 .
[70] Marie Sejkorová,et al. Application of tribodiagnostics in the maintenance of vehicles , 2010 .
[71] Kari Karhunen,et al. Über lineare Methoden in der Wahrscheinlichkeitsrechnung , 1947 .
[72] Steven X. Ding,et al. Data-driven monitoring for stochastic systems and its application on batch process , 2013, Int. J. Syst. Sci..
[73] Iman Izadi,et al. Computing detection delays in industrial alarm systems , 2011, Proceedings of the 2011 American Control Conference.
[74] John A. Williams,et al. Wear and wear particles—some fundamentals , 2005 .
[75] Håkan Hjalmarsson. On Estimation of Model Quality in System Identification , 1990 .
[76] D. Lindgren. Subspace Selection Techniques for Classification Problems , 2002 .
[77] Iman Izadi,et al. On optimal alarm filter design , 2011, 2011 International Symposium on Advanced Control of Industrial Processes (ADCONIP).
[78] S. Ding,et al. Parameterization of linear observers and its application to observer design , 1994, IEEE Trans. Autom. Control..
[79] Steven X. Ding,et al. Data-Driven Design of Observers and Its Applications , 2011 .
[80] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[81] Jonas Jansson. Tracking and decision making for automotive collision avoidance , 2002 .
[82] Wojciech Paszke,et al. Two decades of research on linear repetitive processes part II: applications , 2013 .
[83] Deepak Agarwal,et al. Detecting anomalies in cross-classified streams: a Bayesian approach , 2006, Knowledge and Information Systems.
[84] Ali Keyhani,et al. Analytical model for permanent magnet motors with surface mounted magnets , 2003 .
[85] Daniel Ankelhed,et al. On low order controller synthesis using rational constraints , 2009 .
[86] Erik Geijer Lundin,et al. Uplink Load in CDMA Cellular Systems , 2003 .
[87] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[88] M. Spong,et al. Robot Modeling and Control , 2005 .
[89] Ian D. Walker,et al. Fault detection for robot manipulators with parametric uncertainty: a prediction error based approach , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[90] Dirk P. Kroese,et al. Kernel density estimation via diffusion , 2010, 1011.2602.
[91] V. C. Westcott,et al. A method for the study of wear particles in lubricating oil , 1972 .
[92] Benjamin Friedlander,et al. Computation of the exact information matrix of Gaussian time series with stationary random components , 1985, 1985 24th IEEE Conference on Decision and Control.
[93] Svante Gunnarsson,et al. A Benchmark Problem for Robust Control of a Multivariable Nonlinear Flexible Manipulator , 2008 .
[94] Sören Andersson. Sensor Array Processing : Application to Mobile Communication Systems and Dimension Reduction , 1990 .
[95] Ian D. Walker,et al. Fault identification for robot manipulators , 2005, IEEE Transactions on Robotics.
[96] Krzysztof Galkowski,et al. Control Systems Theory and Applications for Linear Repetitive Processes - Recent Progress and Open Research Questions , 2007 .
[97] Weijie Li,et al. ION , 2021, Proceedings of the 29th ACM International Conference on Multimedia.
[98] Rolf Isermann,et al. On the applicability of model-based fault detection for technical processes , 1993 .
[99] Mats Viberg. On the Adaptive Array Problem , 1987 .
[100] Zoran Sjanic. Navigation and SAR Auto-focusing in a Sensor Fusion Framework , 2011 .
[101] Fredrik Lindsten,et al. Rao-Blackwellised particle methods for inference and identification , 2011 .
[102] Stig Moberg,et al. Modeling and Control of Flexible Manipulators , 2007 .
[103] P. Blau. Embedding Wear Models into Friction Models , 2009 .
[104] P. Lindskog. Algorithms and Tools for System Identification Using Prior Knowledge , 1994 .
[105] F. Al-Bender,et al. A Generalised Asperity-Based Friction Model , 2010 .
[106] Jan Swevers,et al. Optimal robot excitation and identification , 1997, IEEE Trans. Robotics Autom..
[107] Xiaobo Zhou,et al. Global Sensitivity Analysis , 2017, Encyclopedia of GIS.
[108] Max Donath,et al. Coulomb friction effects on the dynamics of bearings and transmissions in precision robot mechanisms , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.
[109] Gert Malmberg. A Study of Adaptive Control of Missiles , 1986 .
[110] Raymond Reiter,et al. A Theory of Diagnosis from First Principles , 1986, Artif. Intell..
[111] Lőrinc Márton,et al. Temperature dependent friction estimation: Application to lubricant health monitoring , 2012 .
[112] Jin Cao,et al. PCA-based fault diagnosis in the presence of control and dynamics , 2004 .
[113] Svante Gunnarsson,et al. Nonlinear identification of a physically parameterized robot model , 2006 .
[114] H. Hotelling. Analysis of a complex of statistical variables into principal components. , 1933 .
[115] L. Devroye,et al. Detection of Abnormal Behavior Via Nonparametric Estimation of the Support , 1980 .
[116] F. Al-Bender,et al. Characterization of friction force dynamics , 2008, IEEE Control Systems.
[117] T. Cacoullos. Estimation of a multivariate density , 1966 .
[118] D. Pavelescu,et al. The friction-speed relation and its influence on the critical velocity of stick-slip motion , 1982 .
[119] Mikael Norrlöf,et al. A data-driven approach to diagnostics of repetitive processes in the distribution domain – Applications to gearbox diagnostics in industrial robots and rotating machines , 2014 .
[120] Alessandro De Luca,et al. Actuator failure detection and isolation using generalized momenta , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).
[121] Henrik Ohlsson,et al. Regression on Manifolds with Implications for System Identification , 2008 .
[122] Thomas B. Schön,et al. Data-Driven Anomaly Detection based on a Bias Change , 2014 .
[123] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[124] Robert Rens Waiboer,et al. Dynamic modelling, identification and simulation of industrial robots: for off-line programming of robotised laser welding , 2007 .
[125] B. Friedland,et al. Modeling and measuring friction effects , 2008, IEEE Control Systems.
[126] Jorn Larsen-Basse,et al. Materials to Resist Wear: A Guide to Their Selection and Use , 1986 .
[127] Luigi Villani,et al. Actuators fault diagnosis for robot manipulators with uncertain model , 2009 .
[128] Christian Lundquist,et al. Automotive Sensor Fusion for Situation Awareness , 2009 .
[129] André Carvalho Bittencourt,et al. A method for Monitoring of Systems that operate in a Repetitive Manner : Application to Wear Monitoring of an Industrial Robot , 2011 .
[130] Jeroen D. Hol,et al. Pose Estimation and Calibration Algorithms for Vision and Inertial Sensors , 2008 .
[131] Johanna Wallén,et al. The History of the Industrial Robot , 2008 .
[132] J. Marron,et al. Progress in data-based bandwidth selection for kernel density estimation , 1996 .
[133] Clarence W. de Silva,et al. Vibration monitoring, testing, and instrumentation , 2007 .
[134] B. K. N. Rao. Condition monitoring and the integrity of industrial systems , 1998 .
[135] J. Sjöberg. Non-Linear System Identification with Neural Networks , 1995 .
[136] Patrik Axelsson. On Sensor Fusion Applied to Industrial Manipulators , 2011 .
[137] Fredrik Gunnarsson,et al. Uplink load in CDMA cellular radio systems , 2006, IEEE Transactions on Vehicular Technology.
[138] Sirish L. Shah,et al. Time domain averaging across all scales: A novel method for detection of gearbox faults , 2008 .
[139] Daniel Axehill,et al. Applications of Integer Quadratic Programming in Control and Communication , 2005 .
[140] Raghunathan Rengaswamy,et al. A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies , 2003, Comput. Chem. Eng..
[141] Seongkyu Yoon,et al. Principal‐component analysis of multiscale data for process monitoring and fault diagnosis , 2004 .
[142] Lorinc Marton. On-line lubricant health monitoring in robot actuators , 2011, 2011 Australian Control Conference.
[143] Mille Millnert,et al. Fast Power Control to Counteract Rayleigh Fading in Cellular Radio Systems , 1995 .
[144] Christian Lundquist,et al. On Extended Target Tracking Using PHD Filters , 2012 .
[145] Wyatt S. Newman,et al. A load-dependent transmission friction model: theory and experiments , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.
[146] Steven X. Ding,et al. Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools , 2008 .
[147] Valur Einarsson. On Verification of Switched Systems using Abstractions , 1998 .
[148] W. J. Studden,et al. Theory Of Optimal Experiments , 1972 .
[149] J. Copas,et al. Interpreting Kullback-Leibler divergence with the Neyman-Pearson lemma , 2006 .
[150] Inger Klein,et al. Automatic Synthesis of Sequential Control Schemes , 1993 .
[151] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[152] R. Durrett. Probability: Theory and Examples , 1993 .
[153] Frida Eng,et al. Non-Uniform Sampling in Statistical Signal Processing , 2007 .
[154] Torgny Brogårdh,et al. An extended friction model to capture load and temperature effects in robot joints , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[155] Keith Worden. Fault Diagnosis and Fault Tolerance for Mechatronic Systems: Recent Advances , 2005 .
[156] A. Gray,et al. Distance measures for speech processing , 1976 .
[157] E.F. El-Saadany,et al. A Current Control Scheme With an Adaptive Internal Model for Torque Ripple Minimization and Robust Current Regulation in PMSM Drive Systems , 2008, IEEE Transactions on Energy Conversion.
[158] A. Tustin,et al. The effects of backlash and of speed-dependent friction on the stability of closed-cycle control systems , 1947 .
[159] J. Löfberg,et al. Linear Model Predictive Control Stability and Robustness , 2001 .
[160] Erik Frisk,et al. Sensor Placement for Fault Diagnosis , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[161] Nike Liu,et al. Optimal robust fault detection , 2008 .
[162] Yi Li,et al. Actuator Fault Detection and Isolation for Robot Manipulators with the Adaptive Observer , 2012 .
[163] Krzysztof Galkowski,et al. LMI based output feedback control of discrete linear repetitive processes , 2004, Proceedings of the 2004 American Control Conference.
[164] Alex Simpkins,et al. System Identification: Theory for the User, 2nd Edition (Ljung, L.; 1999) [On the Shelf] , 2012, IEEE Robotics & Automation Magazine.
[165] Gene H. Golub,et al. The differentiation of pseudo-inverses and non-linear least squares problems whose variables separate , 1972, Milestones in Matrix Computation.
[166] Per Skoglar,et al. Tracking and Planning for Surveillance Applications , 2012 .
[167] Patrik Axelsson,et al. Bayesian state estimation of a flexible industrial robot , 2012 .
[168] Thomas B. Schön,et al. On computational methods for nonlinear estimation , 2003 .
[169] J. Löfberg. Minimax approaches to robust model predictive control , 2003 .
[170] Martin A. Skoglund. Visual Inertial Navigation and Calibration , 2011 .
[171] Mikael Norrlöf,et al. On Analysis and Implementation of Iterative Learning Control , 1998 .
[172] Michel Verhaegen,et al. Robust fault detection observer design for linear uncertain systems , 2011, Int. J. Control.
[173] Luigi Villani,et al. Fault Diagnosis and Fault Tolerance for Mechatronic Systems: Recent Advances , 2003 .
[174] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[175] Janos Gertler,et al. Fault detection and diagnosis in engineering systems , 1998 .
[176] Raghunathan Rengaswamy,et al. A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..
[177] Dit-Yan Yeung,et al. Parzen-window network intrusion detectors , 2002, Object recognition supported by user interaction for service robots.
[178] Svante Gunnarsson. On the Mean Square Error of Transfer Function Estimates with Applications to Control , 1986 .
[179] A. Stenman. Just-in-Time Models with Applications to Dynamical Systems , 1997 .
[180] T. Andersson. Concepts and Algorithms for Non-Linear System Identifiability , 1994 .
[181] Anthony C. Atkinson,et al. Optimum Experimental Designs, with SAS , 2007 .
[182] Daniel A. Henderson,et al. Maximum likelihood kernel density estimation: On the potential of convolution sieves , 2009, Comput. Stat. Data Anal..
[183] Patrik Axelsson,et al. Modeling and Experiment Design for Identification of Wear in a Robot Joint Under Load and Temperature Uncertainties Based on Friction Data , 2014, IEEE/ASME Transactions on Mechatronics.
[184] B. Wahlberg. On Model Simplification in System Identification , 1985 .
[185] Carlos Canudas de Wit,et al. Friction Models and Friction Compensation , 1998, Eur. J. Control.
[186] Per Skoglar,et al. Planning Methods for Aerial Exploration and Ground Target Tracking , 2009 .
[187] Peter Andersson. Adaptive Forgetting through Multiple Models and Adaptive Control of Car Dynamics , 1983 .
[188] Fredrik Gustafsson,et al. Power Control in Cellular Radio Systems , 2000 .
[189] E. S. Pearson,et al. On the Problem of the Most Efficient Tests of Statistical Hypotheses , 1933 .
[190] Henrik Tidefelt. Structural algorithms and perturbations in differential-algebraic equations , 2007 .
[191] Daniel Petersson. Nonlinear optimization approaches to H2-norm based LPV modelling and control , 2010 .
[192] Farhad Aghili,et al. Failure detection and isolation in robotic manipulators using joint torque sensors , 2009, Robotica.
[193] Maxime Gautier,et al. Extended Kalman Filtering and Weighted Least Squares Dynamic Identification of Robot , 2000 .
[194] D. Titterington. Recursive Parameter Estimation Using Incomplete Data , 1984 .
[195] Michèle Basseville,et al. Detection of abrupt changes: theory and application , 1993 .
[196] K. Edström. Switched Bond Graphs : Simulation and Analysis , 1999 .
[197] Niclas Persson,et al. Event Based Sampling with Application to Spectral Estimation , 2002 .
[198] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[199] T. Brogårdh,et al. Robot Control Overview: An Industrial Perspective , 2009 .
[200] B. Bengtsson. On some Control Problems for Queues , 1982 .
[201] Urban Forssell. Properties and Usage of Closed-loop Identification Methods , 1997 .
[202] André Carvalho Bittencourt,et al. A Data-driven Method for Monitoring Systems that Operate Repetitively -Applications to Wear Monitoring in an Industrial Robot Joint1 , 2012 .
[203] Michel Verhaegen,et al. Robust Fault Detection With Statistical Uncertainty in Identified Parameters , 2012, IEEE Transactions on Signal Processing.
[204] Mark D. Reid,et al. Information, Divergence and Risk for Binary Experiments , 2009, J. Mach. Learn. Res..
[205] Jonas Callmer. Topics in Localization and Mapping , 2011 .
[206] Peter Funk,et al. Fault Diagnosis of Industrial Robots Using Acoustic Signals and Case-Based Reasoning , 2004, ECCBR.
[207] A. Bowman,et al. Applied smoothing techniques for data analysis : the kernel approach with S-plus illustrations , 1999 .
[208] Claes Olsson,et al. Active Engine Vibration Isolation using Feedback Control , 2002 .
[209] L R Ray,et al. Optimal filtering and Bayesian detection for friction-based diagnostics in machines. , 2001, ISA transactions.
[210] Svante Gunnarsson,et al. Simulation based Evaluation of Fault Detection Algorithms with Applications to Wear Diagnosis in Manipulators , 2014 .
[211] Mathias Woydt,et al. The history of the Stribeck curve and ball bearing steels: The role of Adolf Martens , 2010 .
[212] Carl Svärd,et al. Automated Design of an FDI-System for the Wind Turbine Benchmark , 2011 .
[213] M. F.,et al. Bibliography , 1985, Experimental Gerontology.
[214] Andrew D. Ball,et al. Fault detection in rotating machinery using kernel-based probability density estimation , 2000, Int. J. Syst. Sci..
[215] James I. Taylor,et al. The Vibration Analysis Handbook , 1994 .
[216] Fredrik Gustafsson,et al. Power Control in Cellular Radio Systems : Analysis and Design , 1999 .
[217] J. Friedman. Regularized Discriminant Analysis , 1989 .
[218] Mattias Nyberg. A Generalized Minimal Hitting-Set Algorithm to Handle Diagnosis With Behavioral Modes , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[219] G. Box,et al. On the Experimental Attainment of Optimum Conditions , 1951 .
[220] Valur Einarsson. Model Checking Methods for Mode Switching Systems , 2000 .
[221] Luigi Villani,et al. Fault Diagnosis for Industrial Robots , 2003 .
[222] Mats Viberg,et al. Subspace fitting concepts in sensor array processing , 1990 .
[223] A. El-Antably,et al. Analytical model for permanent magnet motors with surface mounted magnets , 1999, IEEE International Electric Machines and Drives Conference. IEMDC'99. Proceedings (Cat. No.99EX272).
[224] André Carvalho Bittencourt. Friction change detection in industrial robot arms , 2007 .
[225] K. Chen. Observability and Invertability of Nonlinear Systems : A Differential Algebraic Approach , 1991 .
[226] Johanna Wallén,et al. On Kinematic Modelling and Iterative Learning Control of Industrial Robots , 2008 .
[227] C. Seeton. Viscosity–temperature correlation for liquids , 2006 .
[228] Eric Rogers,et al. Two Decades of Research on Linear Repetitive Processes Part I: Theory , 2001 .
[229] K.J. Astrom,et al. Revisiting the LuGre friction model , 2008, IEEE Control Systems.
[230] Christian Lyzell,et al. Initialization Methods for System Identification , 2009 .
[231] Jakob Roll. Robust Verification and Identification of Piecewise Affine Systems , 2001 .
[232] Maxime Gautier,et al. Dynamic identification of robots with a dry friction model depending on load and velocity , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[233] Brian Armstrong-Hélouvry,et al. Control of machines with friction , 1991, The Kluwer international series in engineering and computer science.
[234] Bernard W. Silverman,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[235] J. Gunnarsson. On Modeling of Discrete Event Dynamic Systems : Using Symbolic Algebraic Methods , 1995 .
[236] Daniel Ankelhed,et al. On design of low order H-infinity controllers , 2011 .
[237] Graham Thompson. Improving Maintainability and Reliability through Design , 2000 .
[238] Fredrik Tjärnström,et al. Quality Estimation of Approximate Models , 2000 .
[239] Magnus Larsson,et al. On Modeling and Diagnosis of Discrete Event Dynamic Systems , 1997 .
[240] Chuanjiang Li,et al. Subspace aided data-driven design of robust fault detection and isolation systems , 2011, Autom..
[241] Brian C. Williams,et al. Diagnosing Multiple Faults , 1987, Artif. Intell..
[242] Bruno Siciliano,et al. Modelling and Control of Robot Manipulators , 1997, Advanced Textbooks in Control and Signal Processing.
[243] J. Löfberg,et al. Convex Optimization approach for Time-Optimal Path Tracking of Robots with Speed Dependent Constraints , 2011 .
[244] Erik Wernholt,et al. On Multivariable and Nonlinear Identification of Industrial Robots , 2004 .
[245] Sahin Yildirim,et al. Fault detection on robot manipulators using artificial neural networks , 2011 .
[246] Patrik Axelsson,et al. Sensor Fusion and Control Applied to Industrial Manipulators , 2014 .
[247] Bo Jacobson,et al. The Stribeck memorial lecture , 2003 .
[248] Rolf Isermann,et al. Fault-diagnosis systems : an introduction from fault detection to fault tolerance , 2006 .
[249] Peter Peter. MaMiS : A Programming Environment for Numerical/Symbolic Data Processing , 1988 .
[250] Bernd Freyermuth. An approach to model based fault diagnosis of industrial robots , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.
[251] Harry L. Van Trees,et al. Detection, Estimation, and Modulation Theory, Part I , 1968 .
[252] Jan Palmqvist. On Integrity Monitoring of Integrated Navigation Systems , 1997 .
[253] Xiaobo Li,et al. A time domain approach to robust fault detection of linear time-varying systems , 2007, 2007 46th IEEE Conference on Decision and Control.
[254] Rikard Falkeborn. Structure Exploitation in Semidefinite Programming for Control , 2010 .
[255] Svante Björklund,et al. A Survey and Comparison of Time-Delay Estimation Methods in Linear Systems , 2003 .
[256] Anna Hagenblad,et al. Aspects of the Identification of Wiener Models , 1999 .
[257] Stig Moberg,et al. Nonlinear gray-box identification using local models applied to industrial robots , 2011, Autom..
[258] Shiva Sander-Tavallaey,et al. Backlash identification in transmission unit , 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).
[259] Elena Deza,et al. Encyclopedia of Distances , 2014 .
[260] Rolf Isermann,et al. Fault-Diagnosis Applications: Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-tolerant Systems , 2011 .
[261] Alessandro De Luca,et al. Relaxed fault detection and isolation: An application to a nonlinear case study , 2006, Autom..
[262] Rafael Martínez-Guerra,et al. Robust state estimation for repetitive operating mode process: Application to sequencing batch reactors , 2007 .
[263] M. Basseville. Distance measures for signal processing and pattern recognition , 1989 .
[264] L. Marton. Energetic approach to deal with faults in robot actuators , 2012, 2012 20th Mediterranean Conference on Control & Automation (MED).
[265] Jeff A. Bilmes,et al. A gentle tutorial of the em algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models , 1998 .
[266] Shen Yin,et al. On PCA-based fault diagnosis techniques , 2010, 2010 Conference on Control and Fault-Tolerant Systems (SysTol).
[267] Predrag Pucar. Segmentation of Laser Range Radar Images using Hidden Markov Field Models , 1993 .
[268] T. McKelvey. On State-Space Models in System Identification , 1994 .
[269] J. Sjöberg. Some Results On Optimal Control for Nonlinear Descriptor Systems , 2006 .
[270] P. Nordlund. Sequential Monte Carlo Filters and Integrated Navigation , 2002 .
[271] Vincent Hayward,et al. Single state elastoplastic friction models , 2002, IEEE Trans. Autom. Control..
[272] F. Gustafsson. Optimal Segmentation of Linear Regression Parameters , 1991 .
[273] Sayan Mukherjee,et al. Support Vector Method for Multivariate Density Estimation , 1999, NIPS.
[274] Shahid Abbas Abbasi,et al. Major accidents in process industries and an analysis of causes and consequences , 1999 .
[275] F. Gustafsson. Estimation of Discrete Parameters in Linear Systems , 1993 .
[276] K. Ståhl. On the Frequency Domain Analysis of Nonlinear Systems , 1988 .
[277] Susan M. Sanchez,et al. Work smarter, not harder: guidelines for designing simulation experiments , 2005, Proceedings of the Winter Simulation Conference, 2005..
[278] Robert Babuska,et al. Adaptive Friction Compensation: Application to a Robotic Manipulator , 2008 .