A survey of mechanical fault diagnosis based on audio signal analysis
Mechanical fault diagnosis is one of the important technologies in the fourth industrial
revolution. In recent years, mechanical fault diagnosis based on audio signal analysis …
revolution. In recent years, mechanical fault diagnosis based on audio signal analysis …
Non-invasive inspections: A review on methods and tools
M Alotaibi, B Honarvar Shakibaei Asli, M Khan - Sensors, 2021 - mdpi.com
Non-Invasive Inspection (NII) has become a fundamental tool in modern industrial
maintenance strategies. Remote and online inspection features keep operators fully aware …
maintenance strategies. Remote and online inspection features keep operators fully aware …
Vibro-acoustic methods in the condition assessment of power transformers: A survey
It has been over two decades since the publication of pioneer works about the power
transformer diagnostics based on monitoring of their acoustic fingerprints. Since then, there …
transformer diagnostics based on monitoring of their acoustic fingerprints. Since then, there …
Enhancing the accuracy of machinery fault diagnosis through fault source isolation of complex mixture of industrial sound signals
Machinery health monitoring techniques provide valuable insights into the performance and
condition of machines. Acoustic sensor-based monitoring has emerged as a significant area …
condition of machines. Acoustic sensor-based monitoring has emerged as a significant area …
Feature extraction and selection for identifying faults in contactors using Fiber Bragg Grating
Switching devices are used in a wide application field to control and protect electrical
systems. Failures in such equipment cause a loss of reliability in electrical facilities, which …
systems. Failures in such equipment cause a loss of reliability in electrical facilities, which …
Using deep neural networks for on-load tap changer audio-based diagnostics
This paper proposes a sound separation methodology based on deep learning neural
network (DLNN) to extract useful diagnostic material in non-invasive audio-based On-Load …
network (DLNN) to extract useful diagnostic material in non-invasive audio-based On-Load …
Features extraction for classification in switching devices using fiber Bragg grating
D Benetti, EH Dureck, UJ Dreyer… - Journal of Microwaves …, 2023 - SciELO Brasil
Vibration analysis systems are used to assess the operational condition of machines and
electromechanical components in various applications. This work presents a measurement …
electromechanical components in various applications. This work presents a measurement …
Audio-based On-Load Tap Changer diagnostics: correlation of sound and vibration fingerprints
Over the years, non-invasive vibration-based On Load Tap Changer (OLTC) diagnostic
methods have become a part of standard monitoring systems. On the other hand, audio …
methods have become a part of standard monitoring systems. On the other hand, audio …
The use of an artificial neural network for acoustic selections headphone filters
S Pecolt, A Błażejewski, T Królikowski… - Procedia Computer …, 2023 - Elsevier
The article aims to examine the influence of various acoustic materials on the usable
properties of headphones. Acoustic materials act as filters that modify the incident acoustic …
properties of headphones. Acoustic materials act as filters that modify the incident acoustic …
Research on blind source separation of operation sounds of metro power transformer through an Adaptive Threshold REPET algorithm
L Chen, L Xiong, F Zhao, Y Ju, A Jin - Railway Sciences, 2024 - emerald.com
Purpose The safe operation of the metro power transformer directly relates to the safety and
efficiency of the entire metro system. Through voiceprint technology, the sounds emitted by …
efficiency of the entire metro system. Through voiceprint technology, the sounds emitted by …