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Now showing items 11-17 of 17
Sensor Fault Detection and Isolation via Networked Estimation: Full-Rank Dynamical Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
This paper considers the problem of simultaneous sensor fault detection, isolation, and networked estimation of linear full-rank dynamical systems. The proposed networked estimation is a variant of single time-scale protocol ...
Actuator Fault Diagnosis in Multi-Zone HVAC Systems using 2D Convolutional Neural Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
This paper presents a novel supervised on-line fault diagnosis strategy in Heating, Ventilation, and Air conditioning (HVAC) systems for actuator faults using 2D Convolutional Neural Networks. It is based on an efficient ...
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Preventive maintenance of modern electric rotating machinery (RM) is critical for ensuring reliable operation, preventing unpredicted breakdowns and avoiding costly repairs. Recently many studies investigated machine ...
1D convolutional neural networks and applications: A survey
(
Academic Press
, 2021 , Article)
During the last decade, Convolutional Neural Networks (CNNs) have become the de facto standard for various Computer Vision and Machine Learning operations. CNNs are feed-forward Artificial Neural Networks (ANNs) with ...
Adaptive Fault Detection Scheme Using an Optimized Self-healing Ensemble Machine Learning Algorithm
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China Electric Power Research Institute
, 2022 , Article)
This paper proposes a new cost-efficient, adaptive, and self-healing algorithm in real time that detects faults in a short period with high accuracy, even in the situations when it is difficult to detect. Rather than using ...
Data-driven sensor fault detection and isolation of nonlinear systems: Deep neural-network Koopman operator
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John Wiley and Sons Inc
, 2023 , Article)
This paper proposes a data-driven sensor fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses deep neural network architecture to obtain an invariant set of basis ...
Editorial: Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC)
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Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Machine learning (ML) is the subcategory of artificial intelligence (AI), which has the capability to imitate human behavior intelligently as per the task performed by the human. In the modern time, any organization ...