Results 11 to 20 of about 4,256 (214)

Dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics

open access: yesScientific Data, 2021
Measurement(s) fault detection and diagnostics • temperature • pressure • mass flow rate • power Technology Type(s) fault imposition • measurement device Factor Type(s) fault type • fault scenario Sample Characteristic - Environment refrigeration system ...
Jian Sun   +5 more
doaj   +1 more source

Trends and Challenges in Intelligent Condition Monitoring of Electrical Machines Using Machine Learning

open access: yesApplied Sciences, 2021
A review of the fault diagnostic techniques based on machine is presented in this paper. As the world is moving towards industry 4.0 standards, the problems of limited computational power and available memory are decreasing day by day.
Karolina Kudelina   +5 more
doaj   +1 more source

Fault Isolation in Network of State Automates

open access: yesИзвестия высших учебных заведений России: Радиоэлектроника, 2020
Introduction. In the paper a fault isolation problem in the devices combining digital unit by functional diagnostics methods is considered. Networks of state automates are accepted as mathematical models of the devices.
I. V. Bystrova, B. P. Podkopaev
doaj   +1 more source

A Multistage Deep Transfer Learning Method for Machinery Fault Diagnostics Across Diverse Working Conditions and Devices

open access: yesIEEE Access, 2020
Deep learning methods have promoted the vibration-based machinery fault diagnostics from manual feature extraction to an end-to-end solution in the past few years and exhibited great success on various diagnostics tasks. However, this success is based on
Jian Zhou   +3 more
doaj   +1 more source

Deep Learning-Based Machinery Fault Diagnostics

open access: yesMachines, 2022
In recent years, deep learning has shown its unique potential and advantages in feature extraction and pattern recognition [...]
Hongtian Chen   +3 more
doaj   +1 more source

FDD in Building Systems Based on Generalized Machine Learning Approaches

open access: yesEnergies, 2023
Automated fault detection and diagnostics in building systems using machine learning (ML) can be applied to commercial buildings and can result in increased efficiency and savings.
William Nelson, Charles Culp
doaj   +1 more source

Fault diagnostics in an inverter feeding an induction motor using fuzzy logic

open access: yesJournal of Electrical Systems and Information Technology, 2017
This paper presents a fault diagnostics system for a three-phase voltage source inverter. The system is developed as a rule-based fuzzy logic system for fault cases of the inverter power semiconductor switches.
Faeka Khater   +2 more
doaj   +1 more source

Efficacy Study of Fault Trending Algorithm to Prevent Fault Occurrence on Automatic Trampoline Webbing Machine

open access: yesApplied Sciences, 2022
Nowadays, fault diagnostics is widely applied under Industry 4.0 to reduce machine maintenance costs, improve productivity, and increase machine availability. However, fault diagnostics are mostly post-mortem.
Shi Feng, John P. T. Mo
doaj   +1 more source

On the Accuracy of Fault Diagnosis for Rolling Element Bearings Using Improved DFA and Multi-Sensor Data Fusion Method

open access: yesSensors, 2020
Rolling element bearings are widely employed in almost every rotating machine. The health status of bearings plays an important role in the reliability of rotating machines. This paper deals with the principle and application of an effective multi-sensor
Qiang Song, Sifang Zhao, Mingsheng Wang
doaj   +1 more source

Prony Method Estimation as a New Approach for Surge Comparison Testing in Turn Insulation Diagnostics for Three Phase Stator Windings

open access: yesMachines, 2023
This article presents an evaluation of Prony method estimation and its implementation considerations for surge comparison test application in turn insulation diagnostics for three-phase stator windings.
Luis Alonso Trujillo Guajardo   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy