Results 21 to 30 of about 30,992 (298)
A self-validating control system based approach to plant fault detection and diagnosis [PDF]
, 2001 An approach is proposed in which fault detection and diagnosis (FDD) tasks are distributed to separate FDD modules associated with each control system located throughout a plant.
Chen, J., Howell, J.
core +1 more source
Machines, 2021 Aiming at the lack of reliable gradual fault detection and abnormal condition alarm and evaluation ability in the plasticizing process of single-base gun propellant, a fault detection and diagnosis method based on normalized mutual information weighted ...
Mingyi Yang +6 more
doaj +1 more source
The fault detection and severity diagnosis of rolling element bearings using modulation signal bispectrum [PDF]
The rolling element bearing is a key part in many mechanical equipment. The accurate and timely diagnosis of its faults is critcal for predictive maintenance. Vibration signals from a defective bearing with a localized fault contain a series of impulsive
Gu, Fengshou +3 more
core +3 more sources
Entropy, 2022 Data-driven fault diagnosis methods for rotating machinery have developed rapidly with the help of deep learning methods. However, traditional intelligent fault diagnosis methods still have some limitations in fault feature extraction and the latest ...
Jiahui Tang +3 more
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Infrared thermography‐based diagnostics on power equipment: State‐of‐the‐art
High Voltage, 2021 As a non‐contact temperature distribution measurement method, infrared thermography (IRT) has emerged as an indispensable tool in condition monitoring and fault diagnosis of electrical equipment based on the absolute and relative temperature values ...
Changjie Xia +6 more
doaj +1 more source
A Survey on Fault Diagnosis of Rolling Bearings
Algorithms, 2022 The failure of a rolling bearing may cause the shutdown of mechanical equipment and even induce catastrophic accidents, resulting in tremendous economic losses and a severely negative impact on society.
Bo Peng +4 more
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A Study of Motor Bearing Fault Diagnosis using Modulation Signal Bispectrum Analysis of Motor Current Signals [PDF]
, 2013 Failure of induction motors are a large concern due to its influence over industrial production. Motor current signature analysis (MCSA) is common practice in industry to find motor faults. This paper presents a new approach to detection and diagnosis of
Chen, Zhi +5 more
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Fault Detection Based on Multi-Dimensional KDE and Jensen–Shannon Divergence
Entropy, 2021 Weak fault signals, high coupling data, and unknown faults commonly exist in fault diagnosis systems, causing low detection and identification performance of fault diagnosis methods based on T2 statistics or cross entropy. This paper proposes a new fault
Juhui Wei +4 more
doaj +1 more source
A Desk-top tutorial Demonstration of Model-based Fault Detection and Diagnosis [PDF]
, 2007 In this paper, a demonstration on the model-based approach for fault detection has been presented. The aim of this demo is to provide students a desk-top tool to start learning model-based approach.
Gu, Fengshou +3 more
core +3 more sources
Fault Detection and Fault Diagnosis Techniques for Lookup Table FPGAs [PDF]
VLSI Design, 2001 In this paper, we present a novel fault detection and fault diagnosis technique for Field Programmable Gate Arrays (FPGAs). The cell is configured to implement a bijective function to simplify the testing of the whole cell array. The whole chip is partitioned into disjoint one‐dimensional arrays of cells.
Shyue-Kung Lu +2 more
openaire +2 more sources