Results 261 to 270 of about 2,923,375 (341)
Multi-sensor observer-based residual learning with Auto-Permutation Feature Importance for fault diagnosis of multistage centrifugal pumps under variable pressures. [PDF]
Sci RepUllah S, Siddique MF, Kim JM.
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Multi-Sensor Fault Diagnosis for Misalignment and Unbalance Detection Using Machine Learning
IEEE transactions on industry applications, 2023Rotating machines frequently undergo various faults causing increased maintenance and operation costs. To minimize these costs, effective and intelligent methods are thus required. Different sensor modalities reflecting various faults should continuously
Tauheed Mian +2 more
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IEEE transactions on fuzzy systems, 2023
This article focuses on the problem of adaptive quantized fault-tolerant tracking control for a class of uncertain nonstrict-feedback nonlinear systems in the presence of input and output quantization and sensor fault.
Tiantian Wu, Zhaoxu Yu, Shugang Li
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This article focuses on the problem of adaptive quantized fault-tolerant tracking control for a class of uncertain nonstrict-feedback nonlinear systems in the presence of input and output quantization and sensor fault.
Tiantian Wu, Zhaoxu Yu, Shugang Li
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An Online Learning Framework for Sensor Fault Diagnosis Analysis in Autonomous Cars
IEEE transactions on intelligent transportation systems (Print), 2023This paper proposes a novel data-driven technique, namely Online Learning for sensor Fault diagnosis Analysis (OLFA), to perform real-time fault analysis for autonomous cars.
Xuyang Yan +6 more
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Subspace-Aided Sensor Fault Diagnosis and Compensation for Industrial Systems
IEEE transactions on industrial electronics (1982. Print), 2023Sensors are ubiquitous in automatized industrial systems. To ensure the safety of the process control, the fault diagnosis and fault-tolerant control of sensors is necessary.
M. Huo +7 more
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IEEE Transactions on Neural Networks and Learning Systems, 2021
A data-driven distributed formation control algorithm is proposed for an unknown heterogeneous non-affine nonlinear discrete-time MIMO multi-agent system (MAS) with sensor fault.
Shuangshuang Xiong, Z. Hou
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A data-driven distributed formation control algorithm is proposed for an unknown heterogeneous non-affine nonlinear discrete-time MIMO multi-agent system (MAS) with sensor fault.
Shuangshuang Xiong, Z. Hou
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Residual Statistics-Based Current Sensor Fault Diagnosis for Smart Battery Management
IEEE Journal of Emerging and Selected Topics in Power Electronics, 2022Current sensor fault diagnostic is critical to the safety of lithium-ion batteries (LIBs) to prevent over-charging and over-discharging. Motivated by this, this article proposes a novel residual statistics-based diagnostic method to detect two typical ...
Jian Hu +4 more
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Distributed Observer-Based H∞ Fault-Tolerant Control for DC Microgrids With Sensor Fault
IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2021Disturbances, uncertainties, noises and device faults commonly exist in microgrids and often undermine the system stability. To meet these challenges, robust control methods have been recently employed in microgrids systems.
Mingyu Huang +4 more
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Current and Position Sensor Fault Diagnosis Algorithm for PMSM Drives Based on Robust State Observer
IEEE transactions on industrial electronics (1982. Print), 2021This study proposes an advanced current and position sensor fault diagnosis mechanism for permanent magnet synchronous motor (PMSM) applications. Machine nonlinear dynamics as well as parameter and load uncertainties are addressed.
Kyunghwan Choi +3 more
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ACM Transactions on Sensor Networks, 2010
Various sensor network measurement studies have reported instances of transient faults in sensor readings. In this work, we seek to answer a simple question: How often are such faults observed in real deployments? We focus on three types of transient faults, caused by faulty sensor readings that appear abnormal.
Abhishek B. Sharma +2 more
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Various sensor network measurement studies have reported instances of transient faults in sensor readings. In this work, we seek to answer a simple question: How often are such faults observed in real deployments? We focus on three types of transient faults, caused by faulty sensor readings that appear abnormal.
Abhishek B. Sharma +2 more
openaire +1 more source