Towards Smart Remanufacturing and Maintenance of Machinery - Review of Automated Inspection, Condition Monitoring and Production Optimisation
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Yuchun Xu | Xianghong Ma | Zezhong Wang | Gareth Thomson | Xianghong Ma | Yuchun Xu | Zezhong Wang | G. Thomson
[1] Alejandro Heredia-Langner,et al. Solving a multistage partial inspection problem using genetic algorithms , 2002 .
[2] Kenneth A. Loparo,et al. Tool wear condition monitoring in drilling operations using hidden Markov models (HMMs) , 2001 .
[3] Mustapha Nourelfath,et al. An Integrated Model for Production and Preventive Maintenance Planning in Multi-State Systems , 2010, IEEE Transactions on Reliability.
[4] Li Pheng Khoo,et al. Tool condition monitoring using reflectance of chip surface and neural network , 2000, J. Intell. Manuf..
[5] Nidhal Rezg,et al. Optimization of imperfect maintenance based on fuzzy logic for a single‐stage single‐product production system , 2009 .
[6] Jun Dong,et al. Research on Two-Stage Joint Optimization Problem of Green Manufacturing and Maintenance for Semiconductor Wafer , 2020 .
[7] Xiaojun Zhou,et al. Quality and reliability oriented maintenance for multistage manufacturing systems subject to condition monitoring , 2019, Journal of Manufacturing Systems.
[8] R. Tavakkoli-Moghaddam,et al. A novel model for the integrated planning of part quality inspection and preventive maintenance in a linear-deteriorating serial multi-stage manufacturing system , 2018 .
[9] N. R. Sakthivel,et al. Tool condition monitoring techniques in milling process — a review , 2020 .
[10] Abbas Ahmadi,et al. A novel integrated condition-based maintenance and stochastic flexible job shop scheduling problem: simulation-based optimization approach , 2018, Ann. Oper. Res..
[11] Geok Soon Hong,et al. Sensor fusion for online tool condition monitoring in milling , 2007 .
[12] Robert X. Gao,et al. Deep heterogeneous GRU model for predictive analytics in smart manufacturing: Application to tool wear prediction , 2019, Comput. Ind..
[13] Nukala Viswanadham,et al. Inspection allocation in manufacturing systems using stochastic search techniques , 1996, IEEE Trans. Syst. Man Cybern. Part A.
[14] Richard C.M. Yam,et al. Intelligent Predictive Decision Support System for Condition-Based Maintenance , 2001 .
[15] G. B. Wetherill,et al. Quality Control and Industrial Statistics , 1975 .
[16] Bhupesh Kumar Lad,et al. A novel integrated tool condition monitoring system , 2019, J. Intell. Manuf..
[17] Ehram Safari,et al. A hybrid method for flowshops scheduling with condition-based maintenance constraint and machines breakdown , 2011, Expert Syst. Appl..
[18] Shian-Shyong Tseng,et al. A Novel Manufacturing Defect Detection Method Using Data Mining Approach , 2004, IEA/AIE.
[19] Gil-Sang Yoon,et al. A computer-aided inspection planning system for on-machine measurement — Part II: Local inspection planning — , 2004 .
[20] Ruxu Du,et al. Fuzzy estimation of feed-cutting force from current measurement-a case study on intelligent tool wear condition monitoring , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[21] E. Bagci. Monitoring and analysis of MRR-based feedrate optimization approach and effects of cutting conditions using acoustic sound pressure level in free-form surface milling , 2011 .
[22] Tadeusz Mikolajczyk,et al. Predicting tool life in turning operations using neural networks and image processing , 2018 .
[23] Hamdi Ben Abdallah,et al. Automatic Inspection of Aeronautical Mechanical Assemblies by Matching the 3D CAD Model and Real 2D Images , 2019, J. Imaging.
[24] Byung Soo Kim,et al. Scheduling a single machine with multiple preventive maintenance activities and position-based deteriorations using genetic algorithms , 2012, The International Journal of Advanced Manufacturing Technology.
[25] Haizhou Li,et al. A data-driven prognostics framework for tool remaining useful life estimation in tool condition monitoring , 2017, 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).
[26] Nukala Viswanadham,et al. Inspection allocation in manufacturing systems: a genetic algorithm approach , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.
[27] Glenn F. Lindsay,et al. Allocation of Screening Inspection Effort---A Dynamic-Programming Approach , 1964 .
[28] Mitsuo Gen,et al. Scheduling jobs and maintenances in flexible job shop with a hybrid genetic algorithm , 2006, J. Intell. Manuf..
[29] Tuğrul Özel,et al. Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks , 2005 .
[30] Shian-Shyong Tseng,et al. A novel manufacturing defect detection method using association rule mining techniques , 2005, Expert Syst. Appl..
[31] Kwai-Sang Chin,et al. A hybrid OLAP-association rule mining based quality management system for extracting defect patterns in the garment industry , 2013, Expert Syst. Appl..
[32] Won Tae Kwon,et al. Real‐Time Monitoring of Tool Fracture in Turning Using Sensor Fusion , 1999 .
[33] Michel Gendreau,et al. A cost minimisation model for joint production and maintenance planning under quality constraints , 2017 .
[34] Weiming Shen,et al. An integrated feature-based dynamic control system for on-line machining, inspection and monitoring , 2015, Integr. Comput. Aided Eng..
[35] S. Ross. Quality Control under Markovian Deterioration , 1971 .
[36] David Kerr,et al. Assessment and visualisation of machine tool wear using computer vision , 2006 .
[37] Arkadiusz Gola,et al. Maintenance 4.0 Technologies for Sustainable Manufacturing - an Overview , 2019, IFAC-PapersOnLine.
[38] Jun Ni,et al. Maintenance scheduling in manufacturing systems based on predicted machine degradation , 2008, J. Intell. Manuf..
[39] Xiang Li,et al. Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model , 2018, J. Intell. Manuf..
[40] Yu Ding,et al. A survey of inspection strategy and sensor distribution studies in discrete-part manufacturing processes , 2006 .
[41] Boonserm Kulvatunyou,et al. Smart Manufacturing Through a Framework for a Knowledge-Based Diagnosis System , 2017 .
[42] Yanbin Du,et al. An integrated approach of reverse engineering aided remanufacturing process for worn components , 2017 .
[43] Alaa Elwany,et al. Sensor-driven prognostic models for equipment replacement and spare parts inventory , 2008 .
[44] Yin-Lin Shen,et al. Sampling strategy design for dimensional measurement of geometric features using coordinate measuring machine , 1997 .
[45] Jehnming Lin,et al. Inverse estimation of the tool-work interface temperature in end milling , 1995 .
[46] Hao Peng,et al. A condition-based maintenance policy for multi-component systems with a high maintenance setup cost , 2015, OR Spectr..
[47] Andreas Archenti,et al. Root-cause analysis of wear-induced error motion changes of machine tool linear axes. , 2019, International journal of machine tools & manufacture.
[48] Ali Azadeh,et al. A metaheuristic method for optimising inspection strategies in serial multistage processes , 2010 .
[49] Behrouz N. Shabestari,et al. Challenges of adapting a dual-wavelength infrared imaging system as an industrial inspection tool , 1997, Other Conferences.
[50] Giovanna Martínez-Arellano,et al. Tool wear classification using time series imaging and deep learning , 2019, The International Journal of Advanced Manufacturing Technology.
[51] Colin Gagg,et al. Failure of components and products by ‘engineered-in’ defects: Case studies , 2005 .
[52] Anjani Kumar,et al. Application of Root Cause Analysis in Improvement of Product Quality and Productivity , 2008 .
[53] Tilak Raj,et al. Tool life management of unmanned production system based on surface roughness by ANFIS , 2017, Int. J. Syst. Assur. Eng. Manag..
[54] Yarlin Kuo,et al. Optimal adaptive control policy for joint machine maintenance and product quality control , 2006, Eur. J. Oper. Res..
[55] Gil-Sang Yoon,et al. A computer-aided inspection planning system for on-machine measurement — part I: Global inspection planning — , 2004 .
[56] Nasreddin Dhafr,et al. Improvement of quality performance in manufacturing organizations by minimization of production defects , 2006 .
[57] Ning Ding,et al. Research on Tool Wear State Based on Cutting Audio and Temperature Parameter Fitting , 2019, RICAI 2019.
[58] Zhichao Liu,et al. Exploring optimal timing for remanufacturing based on replacement theory , 2016 .
[59] V. Barnett,et al. Economic Choice of Sample Size for Sampling Inspection Plans , 1974 .
[60] Bülent Kaya,et al. Force-torque based on-line tool wear estimation system for CNC milling of Inconel 718 using neural networks , 2011, Adv. Eng. Softw..
[61] 中嶋 清一,et al. Introduction to TPM : total productive maintenance , 1988 .
[62] Francesco Zammori,et al. Comparison of new metaheuristics, for the solution of an integrated jobs-maintenance scheduling problem , 2019, Expert Syst. Appl..
[63] D. E. Dimla,et al. On-line metal cutting tool condition monitoring.: I: force and vibration analyses , 2000 .
[64] Mohammed Dahane,et al. Preventive remanufacturing planning of production equipment under operational and imperfect maintenance constraints: A hybrid genetic algorithm based approach , 2019, Reliab. Eng. Syst. Saf..
[65] Divya Pandey,et al. A methodology for joint optimization for maintenance planning, process quality and production scheduling , 2011, Comput. Ind. Eng..
[66] Christopher S. Tang. Designing an optimal production system with inspection , 1991 .
[67] Ashish Sureka,et al. Product failure root cause analysis during warranty analysis for integrated product design and quality improvement for early results in downturn economy , 2010 .