Decision tree and PCA-based fault diagnosis of rotating machinery

Sun, Weixiang, Chen, Jin, Li, Jiaqing·2007·Mechanical Systems and Signal Processing

Cited by (272)

Items 201–272 of 272

  1. Genetic Algorithms and Machine Learning Enhanced Laser Displacement Sensor Point Cloud Augmentation for Low-Cost, Large-Scale Flatness Measurements
    Yehui Liu, Chengzhong Yu, Xiaofeng Liang, Zengshuai Qiu, Xinyue Zhang, Chao Lian, Jian Li, Jinghu Ji, Peng Shan, Xiaoyong Lyu et al. · 2023 · IEEE Sensors Journal
  2. On-line monitoring and diagnosis of membrane fouling using ultrasonic techniques
    Junghui Chen, Yun-Chen Yang, Jiayu Huang · 2013 · Chemometrics and Intelligent Laboratory Systems
  3. Fault diagnosis of roller bearing using feedback EMD and decision tree
    Jia Guifeng, Yuan Sheng-fa, Tang Chengwen, Xiong Jie · 2011 · International Conference on Electric Information and Control Engineering
  4. Fine Tuning Machine Fault Diagnosis System Towards Mission Critical Applications
    R. Gopinath, C. Santhosh Kumar, V. Vaijeyanthi, K.I. Ramachandran · 2015 · Advances in intelligent systems and computing
  5. System availability enhancement using computational intelligence–based decision tree predictive model
    Qadeer Ahmed, Fatai Anifowose, Faisal Irshad Khan · 2015 · Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
  6. AN EXPERIMENTAL EVALUATION OF INTELLIGENT FAULT DETECTION AND CLASSIFICATION FOR INDUCTION MOTORS UTILIZING MACHINE LEARNING APPROACHES
    Mahmut Kasap, Eyüp ÇİNAR, Ahmet Taylan Yazıcı, Kemal Özkan · 2021 · Eskişehir Osmangazi Üniversitesi mühendislik ve mimarlık fakültesi dergisi :/Osmangazi Üniversitesi Mühendislik-Mimarlık Fakültesi dergisi
  7. Rolling bearing fault diagnosis based on wavelet energy spectrum, PCA and PNN
    Keyong Shao, Miaomiao Cai, Guofeng Zhao · 2014 · Chinese Control and Decision Conference (CCDC)
  8. Combining Visual Analytics and Machine Learning for Reverse Engineering in Assembly Quality Control
    Patrick Ruediger-Flore, Felix Claus, Bernd Hamann, Hans Hagen, Heike Leitte · 2020 · Journal of Imaging Science and Technology
  9. A Syntactic Pattern Recognition Based Approach to Online Anomaly Detection and Identification on Electric Motors
    Kutalmış Coşkun, Zeynep Kumralbaş, Semiha Hazel Çavuş, Borahan Tümer · 2022 · Lecture notes in computer science
  10. Identification of bearing faults using linear discriminate analysis and continuous hidden Markov model
    Tao Liu, Jin Chen, Guangming Dong · 2015 · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
  11. Real Time Condition Monitoring on Brakes using Machine Learning Techniques
    J. Jayakrishnan, T. M. Alamelu Manghai, R. Jegadeeshwaran · 2020 · International Conference on Artificial Intelligence and Signal Processing (AISP)
  12. Data Acquisition System and Signal Processing Technique for Bearing Fault Analysis
    J. Selvakumar, Ananya Prakash · 2016 · Indian Journal of Science and Technology
  13. Immune-inspired fault diagnosis for a robotic system
    Ran Bi · 2012 · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)
  14. Data-Driven Fault Detection, Isolation and Identification of Rotating Machinery: with Applications to Pumps and Gearboxes
    Xiaomin Zhao · 2012 · ERA: Education and Research Archive (University of Alberta)
  15. A review of dimensionality reduction techniques applications for machinery fault diagnosis and prognosis
    Sandaram Buchaiah, Piyush Shakya · 2026 · Measurement
  16. Multi-level confusion augmentation and joint domain generalization for fault diagnosis under unseen conditions
    shuanshuan zhao, Yifei Yang, Minjia Tan, Jin Zhu, ximing sun, Haiguo Jing · 2026 · Measurement Science and Technology
  17. Fault diagnosis with high accuracy and timeliness for semi‐batch crystallization process based on deep learning with multiple pattern representation
    Silin Rao, Ziteng Wang, Jingtao Wang · 2024 · The Canadian Journal of Chemical Engineering
  18. Fault Detection of Twin Rotor MIMO System with Varying Severities Using LSTM and CNN Autoencoder
    Debashish Nanda, Sanjoy Kumar Ghoshal · 2025 · Journal of Vibration Engineering & Technologies
  19. Online condition monitoring of bearings for improved reliability in packaging materials industry
    Dragoljub G. Gajic, Jovan Gligorijevic, Aleksandar Brković, Ivana Savić, Olga Georgieva, S. Di Gennaro · 2015 · International Electronic Conference on Sensors and Applications (ECSA)
  20. Early fault detection and diagnosis in bearings based on logarithmic energy entropy and statistical pattern recognition
    Dragoljub G. Gajic, Aleksandar Brković, Jovan Gligorijevic, Ivana Savić, Olga Georgieva, S. Di Gennaro · 2015 · International Electronic Conference on Entropy and Its Applications (ECEA)
  21. The slow-changing alarm system of condition monitoring for rotating machinery
    Wei Zhong-qing, Jiang Zhi-nong, Bo Ma, Zhong Xin · 2010 · WSEAS TRANSACTIONS on SYSTEMS archive
  22. The Motor Fault Diagnosis Based on Current Signal with Graph Attention Network
    Liang Zhang, Yi Jiang, Long Zhou, Yun Sun, Hongru Wang, Jun Ni, Jinhua Wu, Dongwei Xu · 2023 · Communications in computer and information science
  23. Investigation of Early Detection of Wheel Flat Defect Based on Machine Learning Techniques
    Farzad Talebi Rostami, Hossein Talebi Rostami · 2023 · SSRN Electronic Journal
  24. A Self-Supervised Bearing Failure Detection Method with STFT and Point-wise CNN Feature Extraction
    Xiaoyu Li, Jie Yang, Hao Shen, Qing Liu · 2023 · Journal of Physics Conference Series
  25. Survival risk prediction of gastric cardia cancer-based on a dynamic modular neural network
    Chao Lu, Yang Li, Xing Wei · 2024 · Systems Science & Control Engineering
  26. Health state prediction with reinforcement learning for predictive maintenance
    Anastasis Aglogallos, Alexandros Bousdekis, Stefanos Kontos, Gregoris N. Mentzas · 2026 · Frontiers in Artificial Intelligence
  27. Entropy Approach Using PCA for Sequential Accelerated Aging Processes in Electrical Motors
    Tayfun Şengüler, Erinc Karatoprak, Emine Ayaz, Selim Güllülü, Serhat Şeker · 2007 · IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)
  28. Study of the Usage Life for a Robotic Arm Based on Reducer Diagnosis
    Yung‐Chou Kao, Sheng-Jhe Chen, Fengjun Li · 2020 · IEEE International Conference on Automation Science and Engineering (CASE)
  29. A generator unit fault classification approach based on Multi-source wide-area feature extraction
    Jian Dang, Pengfei Fan, Rong Jia, Jinyuan Wei, Ji Li · 2019 · IEEE International Conference on Advanced Power System Automation and Protection (APAP)
  30. Study on Improvement of Vibration Monitor for an Aero-Engine
    力 马 · 2020 · Mechanical Engineering and Technology
  31. Intelligent process control system for predicting operating conditions of slag grinding machines: a data mining approach for improved efficiency and energy savings
    Anping Wan, Chenyu Du, Ting Chen, Jiabo He, Khalil AL-Bukhaiti · 2024 · Mineral Processing and Extractive Metallurgy Transactions of the Institutions of Mining and Metallurgy
  32. A Two-Stage Manifold Learning Framework for Machinery Fault Diagnosis
    Zuqiang Su, Haitao Xu, Jiufei Luo · 2017 · International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)
  33. On Application of Machine Learning Models for Prediction of Failures in Production Lines
    V. V. Mokeev · 2021 · Lecture notes in electrical engineering
  34. Health Monitoring Framework for Weather Radar Based on Long Short-Term Memory Network with a Real Case Study
    Wei Li, Dalin Wang, Wei Zhou, Yimeng Wang, Chao Shen · 2022 · Journal of Sensors
  35. Prognosis of rotor parts fly-off based on cascade classification and online prediction ability index
    Yingjun Shen, Zhe Song, Andrew Kusiak, Zhiyong Zhan · 2022 · Measurement Science and Technology
  36. A Review of Data Mining Technologies for Condition Based Monitoring for Machine Tools
    Ke Sheng Wang, Vishal Santosh Sharma, Quan Yu · 2014 · Advanced materials research
  37. Neimark-Sacker Bifurcation of Rolling Bearing System with Fault in Outer Ring
    Qiang Wang, Yong Bao Liu, Hui Xu, Xing He · 2015 · Applied Mechanics and Materials
  38. The Safety Monitoring of Colliery Equipments Based on Data Mining Technology
    Shu Fang Zhao, Li Chao Chen · 2011 · Applied Mechanics and Materials
  39. Rotating Fault Diagnosis Based on Wavelet Kernel Principal Component
    Liang Guo, Guangming Dong, J. Chen, Yongsheng Zhu, Yuna Pan · 2008 · Lecture notes in computer science
  40. Método de aquisição de conhecimento para sistemas especialistas destinados à diagnose de falhas: aplicação de técnicas de análise de confiabilidade e de risco.
    Erick Miguel Portugal Hidalgo · 2014
  41. FAULT DETECTION AND CONDITION MONITORING OF MACHINE-STRUCTURE: REVIEW
    Lalit B. Bhuyar, S. V. Kshirsagar, Gajanan K. Awari, Atul S. Padalkar · 2010
  42. Advanced feature extraction and selection for fault diagnosis and prognosis
    Junhong Zhou · 2012
  43. Monitoring, diagnostics and improvement of process performance
    Muhammad T. Rafique · 2009 · eSpace (Curtin University)
  44. Estimation of Missing Data Using Neural Networks and Decision Trees
    Tshilidzi Marwala · 2009 · IGI Global eBooks
  45. Advanced features and feature selection methods for vibration and audio signal classification
    EnShuo Tsau · 2012 · University of Southern California Digital Library
  46. Crack Detection in Machine-Structure by Evolutionary Algorithm
    Lalit B. Bhuyar, S. V. Kshirsagar · 2011
  47. Deciding classification process to handle classification problem based on meta heuristic approach
    Wei-Zhan Hung · 2017 · International conference on Fuzzy Theory and Its Applications
  48. Identification of Agricultural Crop Residues Using Non-Destructive Methods
    Dimitrios Katerıs, İoannis Gravalos, Θεόδωρος Γιαλαμάς · 2019 · Advances in environmental engineering and green technologies book series
  49. Fault Diagnosis and Prediction Method of SPC for Engine Block Based on LSTM Neural Network
    Chunying Jiang, Ping Jin, Yuxiang Kang, Changlong Ye · 2019 · Lecture notes in computer science
  50. Experiência com Aprendizado de Máquina para Construção de um Digital Twin para a Indústria da Mineração
    Luiz Guilherme Menezes Barata, Saul Emanuel Delabrida · 2019 · Anais do 14º Simpósio Brasileiro de Automação Inteligente
  51. Resource and Performance Modelling of Hadoop Clusters Using Machine Learning
    Hassan Tariq · 2020
  52. Condition Monitoring of Face Milling Tool Using Vibration and Sound Signals
    Madhusudana C. K · 2018
  53. MODWT, PCA and Decision Tree based Fault diagnosis of Gear
    Mansi Mansi, S. S. Dhami, Vanraj Vanraj, Labrose Ayurveda OPC Private Limited, Haryana, India. · 2021 · Journal of University of Shanghai for Science and Technology
  54. Linear Subspace Learning
    Asoke Kumar Nandi, Hosameldin Ahmed · 2019
  55. Wavelet Entropy Applied in gearbox fault diagnosis
    Zhang Wenjun, Sun Yuping, Yilin Liu, Limin Cheng, Liu Hongmei · 2021 · Global Reliability and Prognostics and Health Management Conference (PHM)
  56. Resource and Performance Modelling of Hadoop Clusters Using Machine Learning
    Tariq, Hassan · 2020
  57. Mech-Health: A Machine Learning Based Fault Detection Using Predictive Analysis For LSTM
    R. Vidhya, S. Nagadevi, G. Abirami · 2023 · International Conference on Electrical, Computer and Communication Technologies (ICECCT)
  58. Supervised SVM Based Intelligent Fault Diagnosis Methods
    Weihua Li, Xiaoli Zhang, Ruqiang Yan · 2023 · Springer eBooks
  59. Virtual Machine Fault Detection Algorithm Based on Attention Mechanism
    杜均 党 · 2024 · Computer Science and Application
  60. Fault Detection and Diagnosis Based on Ant Colony Algorithm
    Gula Da, Jinxing Zhao · 2024 · International Conference on Robotics and Automation Sciences (ICRAS)
  61. Machinery multi-sensor fault diagnosis via multivariate intrinsic multiscale entropy analysis and weighted nuisance attribute projection
    Rui Bo Yuan, Dianjun Zhu, Jiangang Yi, Xiaolong Ruan, Wen Bo · 2025 · Journal of Vibration and Control
  62. Failure Monitoring for Firefighting Pump Based on Long Short-Term Memory
    Quyet Nguyen Doan, Huong Le Thi, Trang Nguyen Thi Thu, Phuong Nguyen Thanh · 2025 · EAI/Springer Innovations in Communication and Computing
  63. A Novel Fault Diagnosis Method under Few-Shot Conditions: Integrating Multi-Head Attention Mechanism with Traditional Machine Learning Models
    Jin Zhou, Zilong Xing, Guowei Li · 2025 · International Conference on Computers, Information Processing and Advanced Education (CIPAE)
  64. Decision Tree Applications for Data Modelling
    Man Wai Lee, Kyriacos Chrysostomou, Sherry Y. Chen, Xiaohui Liu · 2009 · IGI Global eBooks
  65. Probabilistic Hierarchical Perception Networks for Reliable Intelligent Fault Diagnostics of Elevator Traction System
    Zekun Wang, Zheng Lin, Guicheng Li, Wei Tao, Sheng Jiang, Chang Cai, Zhiqiang Liao, Jianzhong Xu, Zifei Xu · 2026 · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering
  66. Incipient anomaly detection and estimation for complex system health monitoring
    Xiaoxia Zhang · 2020
  67. Fault Diagnosis and Prognosis in multivariate complex systems
    Junjie Yang · 2023
  68. Predictive Maintenance – An Overview
    Mihaela Juganaru · 2026 · IntechOpen eBooks
  69. Asymmetric stochastic-resonance spiking ResNet for noise-robust cross-domain fault diagnosis of mining machinery
    Miaomiao Yang, Hongfei Duan, Hongzhi Song, Xining Ren, Lijuan Zhao, Z L Yang, Dayu Ye, Xiang Meng · 2026 · Engineering Applications of Artificial Intelligence
  70. Physics-Informed Cross-Domain Fault Diagnosis for Rolling Bearings under Robustness and Interpretability: a Novel Feature Adaptation Framework
    Yi Xie, Ruyang Zheng, Xuepeng Guo, Tan Shihan, Dunxiang Zhu, Qiwei Hu · 2026 · Eksploatacja i Niezawodnosc - Maintenance and Reliability
  71. Integrated Fault Detection and Diagnosis Framework with Ensemble Learning and ProcedureRecommendation for Nuclear Power Plants
    Lamiaa M. Elshenawy, Mohamed Halawa, Tarek A. Mahmoud, Hamdi A. Awad, Mohamed I. Abdo · 2026 · SSRN Electronic Journal
  72. Fault Detection and Diagnosis of a Diesel Engine Valve Train
    Justin Flett · 2013 · MacSphere (McMaster University)