Results 1 to 10 of about 968,782 (237)

Hidden Markov Model-Based Fault Diagnostics Method in Speed-Up and Speed-Down Process for Rotating Machinery

Mechanical Systems and Signal Processing, 2005
Yongyong He
exaly  

Shrinkage Mamba Relation Network With Out-of-Distribution Data Augmentation for Rotating Machinery Fault Detection and Localization Under Zero-Faulty Data

Mechanical Systems and Signal Processing
Zhongwei Deng, Hong-Zhong Huang, Zuoyi Chen   +2 more
exaly  

Health Evaluation Techniques Towards Rotating Machinery: A Systematic Literature Review and Implementation Guideline

Reliability Engineering and System Safety
Haiping Zhu, Jun Wu, Weixiong Jiang
exaly  

Deep Transfer Learning Strategy in Intelligent Fault Diagnosis of Rotating Machinery

Engineering Applications of Artificial Intelligence
Yong Zhu, Shengnan Tang, Boo Cheong Khoo
exaly  

A Generalized Fault Diagnosis Framework for Rotating Machinery Based on Phase Entropy

Reliability Engineering and System Safety
Jing-Shan Zhao, Ligang Yao, Fulei Chu
exaly  

Vibration Analysis Techniques for Rotating Machinery and Its Effect on Bearing Faults

Procedia Manufacturing, 2018
exaly  

A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography

Micromachines, 2022
At present, rotating machinery is widely used in all walks of life and has become the key equipment in many production processes. It is of great significance to strengthen the condition monitoring of rotating machinery, timely diagnose and eliminate ...
Rongcai Wang, Zhonghua Cheng, Huajun Bai
exaly   +3 more sources

Fault Diagnosis of Rotating Machinery Using Kernel Neighborhood Preserving Embedding and a Modified Sparse Bayesian Classification Model [PDF]

Entropy, 2023
Fault diagnosis of rotating machinery plays an important role in modern industrial machines. In this paper, a modified sparse Bayesian classification model (i.e., Standard_SBC) is utilized to construct the fault diagnosis system of rotating machinery ...
Lixin Lu, Weihao Wang, Dongdong Kong, Junjiang Zhu, Dongxing Chen   +4 more
doaj   +2 more sources

The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder [PDF]

Sensors
The prediction of the remaining useful life (RUL) is important for the conditions of rotating machinery to maintain reliability and decrease losses. This study proposes an efficient approach based on an adaptive maximum second-order cyclostationarity ...
Yangde Gao, Zahoor Ahmad, Jong-Myon Kim
doaj   +2 more sources

Development of acoustic emission technology for condition monitoring and diagnosis of rotating machines: bearings, pumps, gearboxes, engines, and rotating structures [PDF]

, 2006
Proof pdf available on ResearchGate (2nd May 2015 uploaded by David Mba)One of the earliest documented applications of Acoustic Emission Technology (AET) to rotating machinery monitoring was in the late 1960s.
Mba, David, Rao, Raj B. K. N.
core   +7 more sources