Results 21 to 30 of about 788,688 (243)

Fault severity diagnosis of rolling element bearings based on kurtogram and envelope analysis [PDF]

open access: yes, 2014
Faults in rolling element bearing are among the main causes of breakdown in rotating machines. Vibration is an effective technique for machine condition monitoring.
Gu, Fengshou   +6 more
core   +5 more sources

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

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

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

Knowledge Modeling in Troubleshooting

open access: yesИнженерные технологии и системы, 2021
Introduction. The article describes the approach to solving the problem of complex technical system troubleshooting based on expert knowledge modeling.
Valeriy P. Dimitrov   +2 more
doaj   +1 more source

Diagnostics of management and organisational systems

open access: yesAgricultural Economics (AGRICECON), 2006
The term "diagnostics" is normally used to refer to the process of identifying some incorrectly operating components in a particular system. The fault symptoms are, however, usually discovered in a different part of the system than that in which the ...
J. Hron
doaj   +1 more source

Early Detection of Subsurface Fatigue Cracks in Rolling Element Bearings by the Knowledge-Based Analysis of Acoustic Emission

open access: yesSensors, 2022
Aiming at early detection of subsurface cracks induced by contact fatigue in rotating machinery, the knowledge-based data analysis algorithm is proposed for health condition monitoring through the analysis of acoustic emission (AE) time series.
Einar Løvli Hidle   +4 more
doaj   +1 more source

General Outdoor Air Economizer Fault Detection & Diagnostics Assessment Method [PDF]

open access: yes, 2012
Outdoor air economizers (OAE) control the amount of air drawn into a building in order to reduce energy usage and improve indoor air quality. Air-side economizers are required by energy standards such as ASHRAE Standard 90.1 in many commercial ...
Hjortland, Andrew L., Braun, James E.
core   +1 more source

Off-Design Analysis Method for Compressor Fouling Fault Diagnosis of Helicopter Turboshaft Engine

open access: yesModelling, 2023
Fouling, caused by the adhesion of fine materials to the blades of the compressor’s last stages, changes the airfoil’s shape and function and the inlet flow angle on the blades.
Farshid Bazmi, Afshin Rahimi
doaj   +1 more source

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