Results 21 to 30 of about 3,279,297 (229)

Compound mechanical fault diagnosis based on CMDE

Advances in Mechanical Engineering, 2022
The fault diagnosis technique is of important for the safety operation of the rotating machinery. In the fault diagnosis framework, the entropy-based method is a promising tool for the feature extraction and signal processing.
Guangwei Yu, Xianzhi Wang, Chunlin Da
doaj   +1 more source

Fault severity diagnosis of rolling element bearings based on kurtogram and envelope analysis [PDF]

, 2014
Faults in rolling element bearing are among the main causes of breakdown in rotating machines. Vibration is an effective technique for machine condition monitoring.
Gu, Fengshou, Chen, Zhi, Rehab, Ibrahim, Ball, Andrew, Rehab, Ibrahim.A.M, Wang, Tie, Tian, Xiange   +6 more
core   +7 more sources

Compound Fault Feature Extraction of Wind Power Gearbox Based on DRS and Improved Autogram

Zhongguo dianli, 2023
Compound fault feature extraction is the key to analyzing the root cause of wind power gearbox faults. A compound fault feature extraction method based on DRS and improved Autogram is proposed.
Haifei MA, Wei TENG, Dikang PENG, Yibing LIU, Tao JIN   +4 more
doaj   +1 more source

Real-time fault diagnosis and fault-tolerant control [PDF]

, 2015
This "Special Section on Real-Time Fault Diagnosis and Fault-Tolerant Control" of the IEEE Transactions on Industrial Electronics is motivated to provide a forum for academic and industrial communities to report recent theoretic/application results in ...
Cecati, Carlo, Ding, Steven X., Gao, Zhiwei   +2 more
core   +1 more source

Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]

, 2009
This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk, Tan, Andy Chit Chiow, Tran, Van, Tran, Van Tung, Oh, Myung-Suck, Tan, Andy   +5 more
core   +1 more source

Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model

Advances in Mechanical Engineering, 2020
Identification of rolling bearing fault patterns, especially for the compound faults, has attracted notable attention and is still a challenge in fault diagnosis.
HongChao Wang, WenLiao Du
doaj   +1 more source

Fault Diagnosis of Rotating Machinery Using Denoising-Integrated Sparse Autoencoder Based Health State Classification

IEEE Access, 2023
The diagnostic study on single-fault with distinguishing features based on monitoring data analysis is mature and fruitful in recent years. However, the early fault signals collected by practical monitoring systems often possess the following ...
Jing Yang, Guo Xie, Yanxi Yang
doaj   +1 more source

Research on the Sparse Representation for Gearbox Compound Fault Features Using Wavelet Bases

Shock and Vibration, 2015
The research on gearbox fault diagnosis has been gaining increasing attention in recent years, especially on single fault diagnosis. In engineering practices, there is always more than one fault in the gearbox, which is demonstrated as compound fault ...
Chunyan Luo, Changqing Shen, Wei Fan, Gaigai Cai, Weiguo Huang, Zhongkui Zhu   +5 more
doaj   +1 more source

A desktop environment for assessment of fault diagnosis based fault tolerant flight control laws [PDF]

, 2008
We present a simulation based software environment conceived to allow an easy assessment of fault diagnosis based fault tolerant control techniques. The new tool is primary intended for the development of advanced flight control applications with fault ...
Gertjan Looye, Looye, Gertjan, Andras Varga, Varga, Andreas, Simon Hecker, Hecker, Simon   +5 more
core   +1 more source

An Imbalanced Fault Diagnosis Method Based on TFFO and CNN for Rotating Machinery

, 2022
Deep learning-based fault diagnosis usually requires a rich supply of data, but fault samples are scarce in practice, posing a considerable challenge for existing diagnosis approaches to achieve highly accurate fault detection in real applications.
Muxu Luo, Liu, Yangyuan, Long Zhang, Luo, Muxu, Pu, Shengxin, Zhang, Long, Xiaotong Yang, Zhou, Jianmin, Jianmin Zhou, Yang, Xiaotong, Yangyuan Liu, Shengxin Pu   +11 more
core   +1 more source