A research study on unsupervised machine learning algorithms for early fault detection in predictive maintenance
暂无分享,去创建一个
[1] F. Gu,et al. Fault detection and diagnosis using Principal Component Analysis of vibration data from a reciprocating compressor , 2012, Proceedings of 2012 UKACC International Conference on Control.
[2] Tarun Gupta,et al. Modified Rank Order Clustering Algorithm Approach by Including Manufacturing Data , 2016 .
[3] Stefan Byttner,et al. Wisdom of Crowds for Intelligent Monitoring of Vehicle Fleets , 2015 .
[4] Jay Lee,et al. Watchdog Agent - an infotronics-based prognostics approach for product performance degradation assessment and prediction , 2003, Adv. Eng. Informatics.
[5] Zhen Sun,et al. A real-time fault detection and isolation strategy for gas sensor arrays , 2017, 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).
[6] R. Keith Mobley,et al. An introduction to predictive maintenance , 1989 .
[7] H. Hotelling. Analysis of a complex of statistical variables into principal components. , 1933 .
[8] Malika Charrad,et al. NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set , 2014 .
[9] Andreas Gössling,et al. Architecture of a Predictive Maintenance Framework , 2007, 6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07).
[10] Michael Grüninger,et al. Introduction , 2002, CACM.
[11] Daria Battini,et al. Sustainable Packaging Development for Fresh Food Supply Chains , 2016 .
[12] Jay Lee,et al. Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment , 2014 .
[13] Adrian E. Raftery,et al. mclust Version 4 for R : Normal Mixture Modeling for Model-Based Clustering , Classification , and Density Estimation , 2012 .
[14] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[15] Raghunathan Rengaswamy,et al. A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..
[16] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[17] Adrian E. Raftery,et al. Model-Based Clustering, Discriminant Analysis, and Density Estimation , 2002 .
[18] L. Pan,et al. A Novel Fuzzy C-Means Clustering Algorithm for Image Thresholding , 2004 .
[19] Konstantinos C. Gryllias,et al. Rolling element bearing fault detection in industrial environments based on a K-means clustering approach , 2011, Expert Syst. Appl..
[20] Premaratne Samaranayake,et al. Aircraft maintenance planning and scheduling : an integrated framework , 2012 .
[21] Jean-Christophe Lapayre,et al. A new industrial cooperative tele-maintenance platform , 2004, Comput. Ind. Eng..
[22] Bo Fan,et al. Fault detection and diagnosis for buildings and HVAC systems using combined neural networks and subtractive clustering analysis , 2014 .
[23] Abdelmalek Kouadri,et al. Fault detection and diagnosis in a cement rotary kiln using PCA with EWMA-based adaptive threshold monitoring scheme , 2017 .