The research and application of intelligent fault diagnosis methods

The main point of intelligent fault diagnosis theory is fault mode distinguish principle based on data processing methods. Data processing methods mainly include wavelet analysis, main component analysis and rough theory. Fault diagnosis theory mainly includes expert system fault diagnosis, fussy fa...

Full description

Bibliographic Details
Published in:	浙江大学学报. 农业与生命科学版
Main Authors:	HE Yong, LI Zeng-fang
Format:	Article
Language:	English
Published:	Zhejiang University Press 2003-03-01
Subjects:	fault diagnosis fault model distinguish data processing
Online Access:	https://www.academax.com/doi/10.3785/1008-9209.2003.02.0119

Similar Items

Investigating The Problem of Misdiagnosis in Model–Based Fault Diagnosis
by: Kóscielny Jan Maciej, et al.
Published: (2025-06-01)

Fault Tolerant Detectors for Distinguishing Sets in Graphs
by: Seo Suk J., et al.
Published: (2015-11-01)

Fault Diagnosis of Maritime Equipment Using an Intelligent Fuzzy Framework
by: L. F. Mendonça, et al.
Published: (2024-10-01)

Review of Intelligent Device Fault Diagnosis Based on Deep Learning
by: HUANG Xundi, PANG Xiongwen
Published: (2023-05-01)

RESEARCH PROGRESS OF METHODS OF GEAR FAULT DIAGNOSIS
by: ZHAO LiJuan, et al.
Published: (2016-01-01)

Open-Circuit Fault Diagnosis for a Modular Multilevel Converter Based on Hybrid Machine Learning
by: Yang An, et al.
Published: (2024-01-01)

Research of the Fault Diagnosis Method of Automatic Transmission
by: Zhang Xiaodong, et al.
Published: (2016-01-01)

Fault Diagnosis Method of Intelligent Substation Protection System Based on Gradient Boosting Decision Tree
by: Wei Ding, et al.
Published: (2022-09-01)

Research on Fault Diagnosis Method for Rotating Machinery Based on Edge Computing
by: Mo Chen, et al.
Published: (2025-03-01)

Summary of fault diagnosis methods for belt conveyor systems
by: YANG Chunyu, et al.
Published: (2023-06-01)

Direct current series fault arc recognition based on adaptive noise and sparrow optimization
by: Xi Zhao, et al.
Published: (2025-09-01)

Study of Induction Motor Inter-Turn Fault Part II: Online Model-Based Fault Diagnosis Method
by: Seong-Hwan Im, et al.
Published: (2022-01-01)

Research Progress on Data-Driven Industrial Fault Diagnosis Methods
by: Liang Lei, et al.
Published: (2025-05-01)

Application Combining VMD and ResNet101 in Intelligent Diagnosis of Motor Faults
by: Shih-Lin Lin
Published: (2021-09-01)

A Review of Application of Signal Processing Techniques for Fault Diagnosis of Induction Motors – Part I
by: J. Faiz, et al.
Published: (2017-12-01)

Modeling of Coal Mill System Used for Fault Simulation
by: Yong Hu, et al.
Published: (2020-04-01)

Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review
by: Haiyang Wang, et al.
Published: (2025-06-01)

Autonomous underwater vehicle fault diagnosis dataset
by: Daxiong Ji, et al.
Published: (2021-12-01)

Integrated Fault Tree and Case Analysis for Equipment Conventional Fault IETM Diagnosis
by: Jiaju Wu, et al.
Published: (2025-08-01)

End-to-End Intelligent Fault Diagnosis of Transmission Bearings in Electric Vehicles Based on CNN
by: Yong Chen, et al.
Published: (2024-10-01)

Review of Research on Rolling Bearing Health Intelligent Monitoring and Fault Diagnosis Mechanism
by: WANG Jing, XU Zhiwei, LIU Wenjing, WANG Yongsheng, LIU Limin
Published: (2024-04-01)

A Deployment Method for Motor Fault Diagnosis Application Based on Edge Intelligence
by: Zheng Zhou, et al.
Published: (2024-12-01)

THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT
by: WU GuangHe, et al.
Published: (2016-01-01)

Pre-Processing Method to Improve Cross-Domain Fault Diagnosis for Bearing
by: Taeyun Kim, et al.
Published: (2021-07-01)

Study on fault diagnosis technologies of motor
by: WANG Huizhong, et al.
Published: (2015-01-01)

Deep Transfer Learning-Based Fault Diagnosis Using Wavelet Transform for Limited Data
by: Junseong Bang, et al.
Published: (2022-07-01)

A Novel Adaptive Sensor Fault Estimation Algorithm in Robust Fault Diagnosis
by: Marcin Pazera, et al.
Published: (2022-12-01)

A Threshold-Control Generative Adversarial Network Method for Intelligent Fault Diagnosis
by: Xinyu Li, et al.
Published: (2021-03-01)

Research on an Intelligent Fault Diagnosis Method for Small Modular Reactors
by: Changan Ren, et al.
Published: (2024-08-01)

Application of Fault Diagnosis and Prediction Techniques in Unmanned Undersea Systems
by: Wenxin CHENG, et al.
Published: (2024-06-01)

An Adaptive Deconvolution Method with Improve Enhanced Envelope Spectrum and Its Application for Bearing Fault Feature Extraction
by: Fengxia He, et al.
Published: (2024-02-01)

Development of A Guaranteed Minimum Detectable Sensor Fault Diagnosis Scheme
by: Witczak Marcin, et al.
Published: (2024-09-01)

A survey of modern exogenous fault detection and diagnosis methods for swarm robotics
by: Olivier Graham Miller, et al.
Published: (2021-01-01)

A Novel Data-Driven Fault Feature Separation Method and Its Application on Intelligent Fault Diagnosis Under Variable Working Conditions
by: Shunming Li, et al.
Published: (2020-01-01)

Fault-Structure-Based Active Fault Diagnosis: A Geometric Observer Approach
by: Zhao Zhang, et al.
Published: (2020-08-01)

Integrated Fault Diagnosis Algorithm for Motor Sensors of In-Wheel Independent Drive Electric Vehicles
by: Namju Jeon, et al.
Published: (2016-12-01)

KECA Similarity-Based Monitoring and Diagnosis of Faults in Multi-Phase Batch Processes
by: Yongsheng Qi, et al.
Published: (2019-01-01)

Intelligent Diagnosis Method of Gear Faults based on MGAN and CNN
by: Zheng Li, et al.
Published: (2022-07-01)

Review of fault diagnosis methods for permanent magnet synchronous motors
by: MA Jian, et al.
Published: (2024-07-01)

An Integrated Strategy for Interpretable Fault Diagnosis of UAV EHA DC Drive Circuits Under Early Fault and Imbalanced Data Conditions
by: Yang Li, et al.
Published: (2025-03-01)