A review on vibration-based condition monitoring of rotating machinery

M Tiboni, C Remino, R Bussola, C Amici - Applied Sciences, 2022 - mdpi.com
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

O AlShorman, F Alkahatni, M Masadeh… - Advances in …, 2021 - journals.sagepub.com
Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …

A new statistical features based approach for bearing fault diagnosis using vibration signals

M Altaf, T Akram, MA Khan, M Iqbal, MMI Ch, CH Hsu - Sensors, 2022 - mdpi.com
In condition based maintenance, different signal processing techniques are used to sense
the faults through the vibration and acoustic emission signals, received from the machinery …

Condition monitoring and fault diagnosis of induction motors: A review

A Choudhary, D Goyal, SL Shimi, A Akula - Archives of Computational …, 2019 - Springer
There is a constant call for reduction of operational and maintenance costs of induction
motors (IMs). These costs can be significantly reduced if the health of the system is …

An intelligent bearing fault diagnosis based on hybrid signal processing and Henry gas solubility optimization

RK Mishra, A Choudhary… - Proceedings of the …, 2022 - journals.sagepub.com
Bearing is regarded as one of the core elements in rotating machines and its fault diagnosis
is essential for better reliability and availability of the rotating machines. This paper puts …

A review of infrared thermography for condition-based monitoring in electrical energy: Applications and recommendations

GK Balakrishnan, CT Yaw, SP Koh, T Abedin, AA Raj… - Energies, 2022 - mdpi.com
Condition-based monitoring (CBM) has emerged as a critical instrument for lowering the
cost of unplanned operations while also improving the efficacy, execution, and dependability …

CNC machine-bearing fault detection based on convolutional neural network using vibration and acoustic signal

M Iqbal, AK Madan - Journal of Vibration Engineering & Technologies, 2022 - Springer
Purpose To detect bearing faults in CNC machine tools, this study proposes an intelligent
vibration-based fault diagnosis approach. Flexible manufacturing systems (FMS) make …

[HTML][HTML] Identification of different manifestations of nonlinear stick–slip phenomena during creep groan braking noise by using the unsupervised learning algorithms k …

J Prezelj, J Murovec, S Huemer-Kals, K Häsler… - Mechanical systems and …, 2022 - Elsevier
Creep groan is a friction-induced, low-frequency vibration and noise phenomenon of a
vehicle's brake system which is excited by a repeating stick–slip effect. Together with high …

Automatic and efficient fault detection in rotating machinery using sound signals

M Altaf, M Uzair, M Naeem, A Ahmad, S Badshah… - Acoustics Australia, 2019 - Springer
Vibration and acoustic emission have received great attention of the research community for
condition-based maintenance in rotating machinery. Several signal processing algorithms …

A brief review of condition monitoring techniques for the induction motor

D Kumar, J Daudpoto - … of the Canadian Society for Mechanical …, 2019 - cdnsciencepub.com
The induction motor is widely used in industry owing to its simple construction and low cost.
In this paper, we present a state-of-the-art review of condition monitoring techniques for the …