Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions
The research on intelligent fault diagnosis has yielded remarkable achievements based on
artificial intelligence-related technologies. In engineering scenarios, machines usually work …
artificial intelligence-related technologies. In engineering scenarios, machines usually work …
Small data challenges for intelligent prognostics and health management: a review
Prognostics and health management (PHM) is critical for enhancing equipment reliability
and reducing maintenance costs, and research on intelligent PHM has made significant …
and reducing maintenance costs, and research on intelligent PHM has made significant …
Multi-input CNN based vibro-acoustic fusion for accurate fault diagnosis of induction motor
Induction motor (IM) is a highly efficient prime mover in industrial applications. To maintain
an uninterrupted operation, accurate fault diagnosis system of IM is required. It can help to …
an uninterrupted operation, accurate fault diagnosis system of IM is required. It can help to …
Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection
The extraction of significant features is essential for efficient fault diagnosis and prognosis of
rolling element bearing. Data fusion is the predominant technology for extracting significant …
rolling element bearing. Data fusion is the predominant technology for extracting significant …
Intelligent mechanical fault diagnosis using multisensor fusion and convolution neural network
Diagnosis of mechanical faults in manufacturing systems is critical for ensuring safety and
saving costs. With the development of data transmission and sensor technologies …
saving costs. With the development of data transmission and sensor technologies …
A domain generalization network combing invariance and specificity towards real-time intelligent fault diagnosis
Abstract Domain adaptation-based fault diagnosis (DAFD) methods have been explored to
address cross-domain fault diagnosis problems, where distribution discrepancy exists …
address cross-domain fault diagnosis problems, where distribution discrepancy exists …
Variable speed induction motors' fault detection based on transient motor current signatures analysis: A review
Induction motor is a major component in the industrial sector. It is experiencing great
development concerning size, market share, and technological design. Any sudden failure …
development concerning size, market share, and technological design. Any sudden failure …
Optimized multivariate multiscale slope entropy for nonlinear dynamic analysis of mechanical signals
Y Li, B Tang, S Jiao, Y Zhou - Chaos, Solitons & Fractals, 2024 - Elsevier
Slope entropy (SloEn) is an effective nonlinear dynamic method to represent the complexity
of time series, which has been extensively applied to various mechanical signal processing …
of time series, which has been extensively applied to various mechanical signal processing …
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 …
Novel Ramanujan digital twin for motor periodic fault monitoring and detection
The signal-processing and intelligent diagnostic and monitoring methods based on motor
current signature analysis for induction motors (IM) usually depend on preset parameters …
current signature analysis for induction motors (IM) usually depend on preset parameters …