A survey of mechanical fault diagnosis based on audio signal analysis

L Tang, H Tian, H Huang, S Shi, Q Ji - Measurement, 2023 - Elsevier
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 …

[HTML][HTML] Industrial cyber-physical systems protection: A methodological review

R Canonico, G Sperlì - Computers & Security, 2023 - Elsevier
Ubiquitous utilization of Information and Communication Technologies in modern
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …

Temporal feature aggregation with attention for insider threat detection from activity logs

P Pal, P Chattopadhyay, M Swarnkar - Expert Systems with Applications, 2023 - Elsevier
Nowadays, insider attacks are emerging as one of the top cybersecurity threats. However,
the detection of insider threats is a more arduous task for many reasons. A significant cause …

A novel application of deep transfer learning with audio pre-trained models in pump audio fault detection

AAT Anvar, H Mohammadi - Computers in Industry, 2023 - Elsevier
The maintenance of industrial systems is a practical and exciting topic in engineering. High
accuracy in fault detection is essential since failure to detect faults can cause damage and …

Anomaly Detection in Industrial Machinery Using IoT Devices and Machine Learning: A Systematic Mapping

SF Chevtchenko, EDS Rocha, MCM Dos Santos… - IEEE …, 2023 - ieeexplore.ieee.org
Anomaly detection is critical in the smart industry for preventing equipment failure, reducing
downtime, and improving safety. Internet of Things (IoT) has enabled the collection of large …

[HTML][HTML] An audio-based framework for anomaly detection in large-scale structural testing

MJ Munko, F Cuthill, MAV Camacho… - … Applications of Artificial …, 2025 - Elsevier
FastBlade is a research facility that tests large-scale composite and metal structures. To
maximise its throughput by uninterrupted running of experiments, unmanned operation of …

Acoustic-Based Detection Technique for Identifying Worn-Out Components in Large-Scale Industrial Machinery

C Pichler, M Neumayer, B Schweighofer… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
This letter addresses the challenge of monitoring large-scale machine halls, particularly in
the context of iron making processes. We propose an acoustic sound-based condition …

A Comprehensive Analysis of AI/MLenabled Predictive Maintenance Modelling for Advanced Driver-Assistance Systems

A Jain, V Goyal, K Sharma - Journal of Electrical Systems, 2024 - search.proquest.com
Abstract Advanced Driver-Assistance Systems (ADAS) are changing driver-vehicle
interactions to improve road safety and reduce distractions. Technological advances like …

Locally Masked Convolutional Models for Anomalous Sound Detection by Deep Learning

F Abad, Y Nakano, R Bendahan, A Takabe… - Procedia Computer …, 2024 - Elsevier
Abstract Anomalous Sound Detection by Deep Learning could be used to automatically
detect malfunctions in mechanical products from their operating sounds. With many normal …

Enhancing Sound-Based Anomaly Detection Using Deep Denoising Autoencoder

SM Kim, YS Kim - IEEE Access, 2024 - ieeexplore.ieee.org
Traditional sensor-based methods that detect machine malfunctions in industrial
environments are often costly and complex; sound-based anomaly detection offers a simpler …