A review on machinery diagnostics and prognostics implementing condition-based maintenance
AKS Jardine, D Lin, D Banjevic - Mechanical systems and signal …, 2006 - Elsevier
Condition-based maintenance (CBM) is a maintenance program that recommends
maintenance decisions based on the information collected through condition monitoring. It …
maintenance decisions based on the information collected through condition monitoring. It …
[HTML][HTML] Basic research on machinery fault diagnostics: Past, present, and future trends
Machinery fault diagnosis has progressed over the past decades with the evolution of
machineries in terms of complexity and scale. High-value machineries require condition …
machineries in terms of complexity and scale. High-value machineries require condition …
Condition based maintenance of machine tools—A review
During the operation, machines generate vibrations which result in deterioration of machine
tools eventually causing failure of some subsystems or the machine itself. The vibration …
tools eventually causing failure of some subsystems or the machine itself. The vibration …
Fault diagnosis of rotating machinery with a novel statistical feature extraction and evaluation method
Fault diagnosis of rotating machinery is receiving more and more attentions. Vibration
signals of rotating machinery are commonly analyzed to extract features of faults, and the …
signals of rotating machinery are commonly analyzed to extract features of faults, and the …
A novel integrated tool condition monitoring system
A tool condition monitoring (TCM) system is vital for the intelligent machining process.
However, literature has mostly ignored the interaction effect between product quality and …
However, literature has mostly ignored the interaction effect between product quality and …
Fault diagnosis in power transformers using multi-class logical analysis of data
This paper presents the implementation of a novel multi-class diagnostic technique for the
detection and identification of faults based on an approach called logical analysis of data …
detection and identification of faults based on an approach called logical analysis of data …
Detection of gear wear and faults in spur gear systems using statistical parameters and univariate statistical process control charts
In this study, the detection of wear faults in spur gears was examined using vibration
analysis, statistical process control method, and statistical parameters. For this purpose, a …
analysis, statistical process control method, and statistical parameters. For this purpose, a …
Maintenance management of tractors and agricultural machinery: Preventive maintenance systems
R Khodabakhshian - Agricultural Engineering International: CIGR …, 2013 - cigrjournal.org
Agricultural machinery maintenance has a crucial role for successful agricultural production.
It aims at guaranteeing the safety of operations and availability of machines and related …
It aims at guaranteeing the safety of operations and availability of machines and related …
A hybrid approach of ANN and HMM for cutting chatter monitoring
CL Zhang, X Yue, YT Jiang, W Zheng - Advanced Materials …, 2010 - Trans Tech Publ
The Hidden Markov Model (HMM) offers a powerful framework for temporal modeling of
features extracted from time varying signals, and the Artificial Neural Network (ANN) has …
features extracted from time varying signals, and the Artificial Neural Network (ANN) has …
Investigation on early fault classification for rolling element bearing based on the optimal frequency band determination
H Li, X Lian, C Guo, P Zhao - Journal of Intelligent Manufacturing, 2015 - Springer
Condition monitoring and fault diagnosis of working machine become increasingly important
during the manufacturing process because they are closely related to the quality of product …
during the manufacturing process because they are closely related to the quality of product …