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 …
Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review
Uninterrupted and trouble-free operation of induction motors (IMs) is the compulsion of the
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach: A review of two decades of research
Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …
machinery. The majority of these machines comprise rotating components and are called …
Condition monitoring and fault diagnosis of induction motor
Background An induction motor is at the heart of every rotating machine and hence it is a
very vital component. Almost in every industry, around 90% of the machines apply an …
very vital component. Almost in every industry, around 90% of the machines apply an …
Artificial intelligence application in fault diagnostics of rotating industrial machines: A state-of-the-art review
The fault monitoring and diagnosis of industrial machineries are very significant in Industry
4.0 revolution but are often complicated and labour intensive. The application of artificial …
4.0 revolution but are often complicated and labour intensive. The application of artificial …
Motor fault diagnostics based on current signatures: a review
Electric motors act as the backbone of industrial development. Their reliable and safe
operation is essential to various industries. At present, motor fault diagnosis based on …
operation is essential to various industries. At present, motor fault diagnosis based on …
A sco** review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion
Rotating machines is an essential part of any manufacturing industry. The sudden
breakdown of such machines due to improper maintenance can also lead to the industries' …
breakdown of such machines due to improper maintenance can also lead to the industries' …
Virtual sensors for fault diagnosis: A case of induction motor broken rotor bar
This article presents an industrial implementation of a virtual sensor in the process of fault
detection of an induction motor. An ensemble-learning soft-sensor is developed to detect …
detection of an induction motor. An ensemble-learning soft-sensor is developed to detect …
A support vector machine based fault diagnostics of Induction motors for practical situation of multi-sensor limited data case
This paper is focused on the development of a new SVM based fault diagnosis methodology
for Induction Motors (IMs) in practical situation of limited data or information case. This work …
for Induction Motors (IMs) in practical situation of limited data or information case. This work …
Lightweight deep residual CNN for fault diagnosis of rotating machinery based on depthwise separable convolutions
S Ma, W Liu, W Cai, Z Shang, G Liu - IEEE Access, 2019 - ieeexplore.ieee.org
This paper proposes an efficient and noise-insensitive end-to-end lightweight deep learning
method. The method synthesizes the characteristics of a frequency domain transform and a …
method. The method synthesizes the characteristics of a frequency domain transform and a …