Applications of machine learning to machine fault diagnosis: A review and roadmap
Intelligent fault diagnosis (IFD) refers to applications of machine learning theories to
machine fault diagnosis. This is a promising way to release the contribution from human …
machine fault diagnosis. This is a promising way to release the contribution from human …
Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
In the Engineering discipline, prognostics play an essential role in improving system safety,
reliability and enabling predictive maintenance decision-making. Due to the adoption of …
reliability and enabling predictive maintenance decision-making. Due to the adoption of …
[PDF][PDF] 大数据下机械智能故障诊断的机遇与挑战
雷亚国， 贾峰， 孔德同， 林京， 邢赛博 - 机械工程学报, 2018 - qikan.cmes.org
机械故障是风力发电设备, 航空发动机, 高档数控机床等大型机械装备安全可靠运行的“潜在杀手”
. 故障诊断是保障机械装备安全运行的“杀手锏”. 由于诊断的装备量大面广, 每台装备测点多 …
. 故障诊断是保障机械装备安全运行的“杀手锏”. 由于诊断的装备量大面广, 每台装备测点多 …
Few shot cross equipment fault diagnosis method based on parameter optimization and feature mertic
H Tao, L Cheng, J Qiu… - Measurement Science and …, 2022 - iopscience.iop.org
With the rapid development of industrial informatization and deep learning technology,
modern data-driven fault diagnosis (MIFD) methods based on deep learning have been …
modern data-driven fault diagnosis (MIFD) methods based on deep learning have been …
Artificial intelligence for fault diagnosis of rotating machinery: A review
Fault diagnosis of rotating machinery plays a significant role for the reliability and safety of
modern industrial systems. As an emerging field in industrial applications and an effective …
modern industrial systems. As an emerging field in industrial applications and an effective …
Rolling element bearing fault diagnosis using convolutional neural network and vibration image
DT Hoang, HJ Kang - Cognitive Systems Research, 2019 - Elsevier
Detecting in prior bearing faults is an essential task of machine health monitoring because
bearings are the vital components of rotary machines. The performance of traditional …
bearings are the vital components of rotary machines. The performance of traditional …
A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines
In traditional intelligent fault diagnosis methods of machines, plenty of actual effort is taken
for the manual design of fault features, which makes these methods less automatic. Among …
for the manual design of fault features, which makes these methods less automatic. Among …
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
Aiming to promptly process the massive fault data and automatically provide accurate
diagnosis results, numerous studies have been conducted on intelligent fault diagnosis of …
diagnosis results, numerous studies have been conducted on intelligent fault diagnosis of …
Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis
Traditional artificial methods and intelligence-based methods of classifying and diagnosing
various mechanical faults with high accuracy by extracting effective features from vibration …
various mechanical faults with high accuracy by extracting effective features from vibration …
A review of stochastic resonance in rotating machine fault detection
Condition-based monitoring and machine fault detection play important roles in industry as
they can ensure safety and reduce breakdown loss. Weak signal detection is an essential …
they can ensure safety and reduce breakdown loss. Weak signal detection is an essential …