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 …
A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines
KTP Nguyen, K Medjaher, DT Tran - Artificial Intelligence Review, 2023 - Springer
The past decade has witnessed the adoption of artificial intelligence (AI) in various
applications. It is of no exception in the area of prognostics and health management (PHM) …
applications. It is of no exception in the area of prognostics and health management (PHM) …
A generic intelligent bearing fault diagnosis system using compact adaptive 1D CNN classifier
Timely and accurate bearing fault detection and diagnosis is important for reliable and safe
operation of industrial systems. In this study, performance of a generic real-time induction …
operation of industrial systems. In this study, performance of a generic real-time induction …
Remaining useful life prediction based on a double-convolutional neural network architecture
Remaining useful life (RUL) prediction has been increasingly considered in many industrial
fields for the reliability and safety of their systems. As a data analysis tool of deep learning …
fields for the reliability and safety of their systems. As a data analysis tool of deep learning …
Mechanical fault diagnosis using convolutional neural networks and extreme learning machine
In the era of the so called 4th industrial revolution, the Factory of the Future and the Industrial
Internet of Things, the industrial mechanical systems become continuously more intelligent …
Internet of Things, the industrial mechanical systems become continuously more intelligent …
Multiscale kernel based residual convolutional neural network for motor fault diagnosis under nonstationary conditions
Motor fault diagnosis is imperative to enhance the reliability and security of industrial
systems. However, since motors are often operated under nonstationary conditions, the high …
systems. However, since motors are often operated under nonstationary conditions, the high …
GTFE-Net: A gramian time frequency enhancement CNN for bearing fault diagnosis
Fault diagnosis of the bearing is vital for the safe and reliable operation of rotating machines
in the manufacturing industry. Convolutional neural networks (CNNs) have been popular in …
in the manufacturing industry. Convolutional neural networks (CNNs) have been popular in …
A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals
H Wang, S Li, L Song, L Cui - Computers in Industry, 2019 - Elsevier
This paper proposed a novel fault recognition method for rotating machinery on the basis of
multi-sensor data fusion and bottleneck layer optimized convolutional neural network (MB …
multi-sensor data fusion and bottleneck layer optimized convolutional neural network (MB …
Bayesian networks in fault diagnosis
Fault diagnosis is useful in helping technicians detect, isolate, and identify faults, and
troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals …
troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals …
A new deep transfer learning method for bearing fault diagnosis under different working conditions
Fault diagnosis is very important for condition based maintenance. Recently, deep learning
models are introduced to learn hierarchical representations from raw data instead of using …
models are introduced to learn hierarchical representations from raw data instead of using …