Results 11 to 20 of about 3,016 (158)

Sensor Fault Diagnostics Using Physics-Informed Transfer Learning Framework

open access: yesSensors, 2022
The field of smart health monitoring, intelligent fault detection and diagnosis is expanding dramatically in order to maintain successful operation in many engineering applications.
Furkan Guc, Yangquan Chen
doaj   +1 more source

Fuzzy Fault Detection for Permanent Magnet Synchronous Motor [PDF]

open access: yesMATEC Web of Conferences, 2021
In the transition to automated and automatic manufacturing an urgent problem is to increase the reliability of mobile robots (MR) and their drives, creation of devices to monitor the technical characteristics of MR, diagnose and predict the remaining ...
Romanov Alexander
doaj   +1 more source

Integrated Approach to Diagnostics of Failures and Cyber-Attacks in Industrial Control Systems

open access: yesEnergies, 2022
This paper is concerned with the issue of the diagnostics of process faults and the detection of cyber-attacks in industrial control systems. This problem is of significant importance to energy production and distribution, which, being part of critical ...
Michał Syfert   +5 more
doaj   +1 more source

Online Forecasting and Anomaly Detection Based on the ARIMA Model

open access: yesApplied Sciences, 2021
Real-time diagnostics of complex technical systems such as power plants are critical to keep the system in its working state. An ideal diagnostic system must detect any fault in advance and predict the future state of the technical system, so predictive ...
Viacheslav Kozitsin   +2 more
doaj   +1 more source

Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties

open access: yesChinese Journal of Mechanical Engineering, 2021
Supervised fault diagnosis typically assumes that all the types of machinery failures are known. However, in practice unknown types of defect, i.e., novelties, may occur, whose detection is a challenging task.
Zhe Yang   +5 more
doaj   +1 more source

Aircraft Engine Performance Monitoring and Diagnostics Based on Deep Convolutional Neural Networks

open access: yesMachines, 2021
The rapid advancement of machine-learning techniques has played a significant role in the evolution of engine health management technology. In the last decade, deep-learning methods have received a great deal of attention in many application domains ...
Amare Desalegn Fentaye   +2 more
doaj   +1 more source

HIERARCHICAL DIAGNOSTIC MODEL SYNTHESIS FOR DATAFLOW REAL-TIME COMPUTING SYSTEM [PDF]

open access: yesНаучно-технический вестник информационных технологий, механики и оптики, 2020
Subject of Research. The paper considers design issues for diagnostic tools of fault detection in addressing information exchanges between software modules for real-time dataflow computing systems.
Egor V. Lukoyanov   +1 more
doaj   +1 more source

Fault mode detection of a hybrid electric vehicle by using support vector machine

open access: yesEnergy Reports, 2023
Hybrid electric vehicle (HEV) is one of the ideal transportation tools to face the challenge of ‘Carbon peak carbon neutralization’. The high complexity of the latest HEVs result to the difficulties in vehicle fault diagnostics, which is considered to be
Fanshuo Liu   +4 more
doaj   +1 more source

Diagnostic and Detection Fault Collapsing for Multiple Output Circuits [PDF]

open access: yesDesign, Automation and Test in Europe, 2005
We discuss fault equivalence and dominance relations for multiple output combinational circuits. The conventional definition for equivalence says that "Two faults are equivalent if and only if the corresponding faulty circuits have identical output functions".
Raja K. K. R. Sandireddy   +1 more
openaire   +2 more sources

The advanced eccentricity and broken cage diagnostic method for medium voltage induction motors [PDF]

open access: yesZbornik Radova: Elektrotehnički Institut "Nikola Tesla", 2012
In the paper the comparative diagnostics of medium voltage induction motors has been presented. The methods employed are the motor current signature analysis (MCSA) and the axial leakage flux spectral analysis.
Janda Žarko   +3 more
doaj   +1 more source

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