A review on fault detection and diagnosis techniques: basics and beyond

A Abid, MT Khan, J Iqbal - Artificial Intelligence Review, 2021 - Springer
Safety and reliability are absolutely important for modern sophisticated systems and
technologies. Therefore, malfunction monitoring capabilities are instilled in the system for …

Physics-based convolutional neural network for fault diagnosis of rolling element bearings

M Sadoughi, C Hu - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
During the past few years, deep learning has been recognized as a useful tool in condition
monitoring and fault detection of rolling element bearings. Although existing deep learning …

Belt conveyors rollers diagnostics based on acoustic signal collected using autonomous legged inspection robot

A Skoczylas, P Stefaniak, S Anufriiev, B Jachnik - Applied Sciences, 2021 - mdpi.com
Growing demand for raw materials forces mining companies to reach deeper deposits.
Difficult environmental conditions, especially high temperature and the presence of …

An automated faults classification method based on binary pattern and neighborhood component analysis using induction motor

O Yaman - Measurement, 2021 - Elsevier
Induction motors, which are widely used in industrial applications, are indispensable tools of
the industry. Induction motors work in almost every part of the industry, such as production …

Acoustic analysis based condition monitoring of induction motors: A review

N Rajapaksha, S Jayasinghe, H Enshaei… - 2021 IEEE Southern …, 2021 - ieeexplore.ieee.org
The most common Induction Motor (IM) faults discussed in literature are of three types,
namely, bearing faults, stator faults, and rotor faults. These faults often result in unexpected …

An Intelligent Ball Bearing Fault Diagnosis System Using Enhanced Rotational Characteristics on Spectrogram

G Seong, D Kim - Sensors, 2024 - mdpi.com
Faults in the ball bearing are a major cause of failure in rotating machinery where ball
bearings are used. Therefore, there is a growing demand for ball bearing fault diagnosis to …

A hybrid fault diagnosis approach for rotating machinery with the fusion of entropy-based feature extraction and SVM optimized by a chaos quantum sine cosine …

W Fu, J Tan, C Li, Z Zou, Q Li, T Chen - Entropy, 2018 - mdpi.com
As crucial equipment during industrial manufacture, the health status of rotating machinery
affects the production efficiency and device safety. Hence, it is of great significance to …

Adaptive diagnosis for rotating machineries using information geometrical kernel-ELM based on VMD-SVD

Z Wang, L Jia, Y Qin - Entropy, 2018 - mdpi.com
Rotating machineries often work under severe and variable operation conditions, which
brings challenges to fault diagnosis. To deal with this challenge, this paper discusses the …

Smartphone-based bearing fault diagnosis in rotating machinery using audio data and 1d convolutional neural networks

C Celebioglu, S Kilickaya, L Eren - Proceedings of the International …, 2024 - dl.acm.org
Asynchronous machines are essential components that drive critical systems across
industrial, trading, and residential sectors, powering heating units, pumps, and various …

Detection of R290 leaks in RACHP equipment using ultrasonic sensors

D Colbourne, AL Vonsild - International Journal of Refrigeration, 2023 - Elsevier
There is a growing need for cost-effective leak detection in smaller RACHP equipment that
uses R290 and other flammable hydrocarbon refrigerants. Gas detection technology may …