An analysis of process fault diagnosis methods from safety perspectives
Industry 4.0 provides substantial opportunities to ensure a safer environment through online
monitoring, early detection of faults, and preventing the faults to failures transitions. Decision …
monitoring, early detection of faults, and preventing the faults to failures transitions. Decision …
A comprehensive review of conventional and intelligence-based approaches for the fault diagnosis and condition monitoring of induction motors
This review paper looks briefly at conventional approaches and examines the intelligent
means for fault diagnosis (FD) and condition monitoring (CM) of electrical drives in detail …
means for fault diagnosis (FD) and condition monitoring (CM) of electrical drives in detail …
Machine learning for predictive maintenance of industrial machines using IoT sensor data
A Kanawaday, A Sane - 2017 8th IEEE international …, 2017 - ieeexplore.ieee.org
The industrial Internet of Things (IIoT) is the use of Internet of Things (IoT) technologies in
manufacturing which harnesses the machine data generated by various sensors and …
manufacturing which harnesses the machine data generated by various sensors and …
Bearing fault detection with vibration and acoustic signals: Comparison among different machine leaning classification methods
J Pacheco-Chérrez, JA Fortoul-Díaz… - Engineering Failure …, 2022 - Elsevier
Despite the recent advances in supervised ML-based methods for fault bearing detection is
that most published work uses only vibration data for damage detection. However …
that most published work uses only vibration data for damage detection. However …
A novel deep learning model for the detection and identification of rolling element-bearing faults
A Shenfield, M Howarth - Sensors, 2020 - mdpi.com
Real-time acquisition of large amounts of machine operating data is now increasingly
common due to recent advances in Industry 4.0 technologies. A key benefit to factory …
common due to recent advances in Industry 4.0 technologies. A key benefit to factory …
A review of predictive and prescriptive offshore wind farm operation and maintenance
Offshore wind farms are a rapidly developing source of clean, low-carbon energy and as
they continue to grow in scale and capacity, so does the requirement for their efficient and …
they continue to grow in scale and capacity, so does the requirement for their efficient and …
A systematic review of machine learning algorithms for prognostics and health management of rolling element bearings: fundamentals, concepts and applications
This article aims to present a comprehensive review of the recent efforts and advances in
applying machine learning (ML) techniques in the area of diagnostics and prognostics of …
applying machine learning (ML) techniques in the area of diagnostics and prognostics of …
Fault diagnosis of rotating electrical machines using multi-label classification
Fault Detection and Diagnosis of electrical machine and drive systems are of utmost
importance in modern industrial automation. The widespread use of Machine Learning …
importance in modern industrial automation. The widespread use of Machine Learning …
Application of Artificial Intelligence-Based Technique in Electric Motors: A Review
Electric motors find widespread application across various industrial fields. The pursuit of
enhanced comprehensive electric motors performance has consistently drawn significant …
enhanced comprehensive electric motors performance has consistently drawn significant …
Multiple classifiers and data fusion for robust diagnosis of gearbox mixed faults
JSL Senanayaka, H Van Khang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Detection and isolation of single and mixed faults in a gearbox are very important to
enhance the system reliability, lifetime, and service availability. This paper proposes a …
enhance the system reliability, lifetime, and service availability. This paper proposes a …