Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms
M Jalayer, C Orsenigo, C Vercellis - Computers in Industry, 2021 - Elsevier
Abstract Fault Detection and Diagnosis (FDD) of rotating machinery plays a key role in
reducing the maintenance costs of the manufacturing systems. How to improve the FDD …
reducing the maintenance costs of the manufacturing systems. How to improve the FDD …
[HTML][HTML] A review on autoencoder based representation learning for fault detection and diagnosis in industrial processes
Process monitoring technologies play a key role in maintaining the steady state of industrial
processes. However, with the increasing complexity of modern industrial processes …
processes. However, with the increasing complexity of modern industrial processes …
The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study
Deep learning (DL)-based methods have advanced the field of Prognostics and Health
Management (PHM) in recent years, because of their powerful feature representation ability …
Management (PHM) in recent years, because of their powerful feature representation ability …
Application of recurrent neural network to mechanical fault diagnosis: A review
J Zhu, Q Jiang, Y Shen, C Qian, F Xu, Q Zhu - Journal of Mechanical …, 2022 - Springer
With the development of intelligent manufacturing and automation, the precision and
complexity of mechanical equipment are increasing, which leads to a higher requirement for …
complexity of mechanical equipment are increasing, which leads to a higher requirement for …
From corrective to predictive maintenance—A review of maintenance approaches for the power industry
M Molęda, B Małysiak-Mrozek, W Ding, V Sunderam… - Sensors, 2023 - mdpi.com
Appropriate maintenance of industrial equipment keeps production systems in good health
and ensures the stability of production processes. In specific production sectors, such as the …
and ensures the stability of production processes. In specific production sectors, such as the …
A deep learning model for process fault prognosis
Early fault detection and fault prognosis are crucial functions to ensure safe process
operations. Fault prognosis can detect and isolate early developing faults as well as predict …
operations. Fault prognosis can detect and isolate early developing faults as well as predict …
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 …
Deep learning-based fault diagnosis of photovoltaic systems: A comprehensive review and enhancement prospects
Photovoltaic (PV) systems are subject to failures during their operation due to the aging
effects and external/environmental conditions. These faults may affect the different system …
effects and external/environmental conditions. These faults may affect the different system …
Towards Zero Defect Manufacturing paradigm: A review of the state-of-the-art methods and open challenges
Abstract Nowadays, Internet-of-Things (IoT), big data, and cloud computing technologies
allow increasing the throughput and quality of manufacturing systems, bringing to the rise of …
allow increasing the throughput and quality of manufacturing systems, bringing to the rise of …
[HTML][HTML] Chiller faults detection and diagnosis with sensor network and adaptive 1D CNN
Computer-empowered detection of possible faults for Heating, Ventilation and Air-
Conditioning (HVAC) subsystems, eg, chillers, is one of the most important applications in …
Conditioning (HVAC) subsystems, eg, chillers, is one of the most important applications in …