Results 21 to 30 of about 3,016 (158)

Log mining and knowledge-based models in data storage systems diagnostics [PDF]

open access: yesE3S Web of Conferences, 2019
Modern data storage systems have a sophisticated hardware and software architecture, including multiple storage processors, storage fabrics, network equipment and storage media and contain information, which can be damaged or lost because of hardware or ...
Uspenskij Mikhail B.
doaj   +1 more source

An intelligent data filtering and fault detection method for gas turbine engines [PDF]

open access: yesMATEC Web of Conferences, 2020
In a gas turbine fault diagnostics, the removal of measurement noise and data outliers prior to the fault analysis is very essential. The conventional filtering methods, particularly the linear ones, are not sufficiently accurate, which might possibly ...
Fentaye Amare D.   +1 more
doaj   +1 more source

A Comparison of Signal Analysis Techniques for the Diagnostics of the IMS Rolling Element Bearing Dataset

open access: yesApplied Sciences, 2023
In this paper, a comparison of signal analysis techniques for the diagnostics of rolling element bearings is carried out. Specifically, the comparison is performed in terms of fault detection, diagnosis and prognosis techniques with regards to the first ...
Diletta Sacerdoti   +2 more
doaj   +1 more source

Least Squares and Contribution Plot Based Approach for Quality-Related Process Monitoring

open access: yesIEEE Access, 2018
In this paper, a new contribution plots approach based on least squares is proposed to realize fault detection and diagnosis for quality-related sensor faults in industrial processes.
Guang Wang   +3 more
doaj   +1 more source

Classification Method in Fault Diagnosis of Oil-Immersed Power Transformers by Considering Dissolved Gas Analysis

open access: yesEmitter: International Journal of Engineering Technology, 2022
Fault detection in the incipient stage is necessary to avoid hazardous operating conditions and reduce outage rates in transformers. Fault-detected dissolved gas analysis is widely used to detect incipient faults in oil-immersed transformers. This paper
Mauridhi Hery Purnomo   +4 more
doaj   +1 more source

Active actuator fault detection and diagnostics in HVAC systems

open access: yesProceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, 2012
This paper introduces a new method for performing actuator fault detection and diagnostics (FDD) in heating ventilation and air conditioning (HVAC) systems. The proposed actuator FDD strategy, for testing whether an actuator is stuck in a single position, uses a two-tier approach that includes a dynamic model-based detector and a fast-deciding steady ...
James Weimer   +7 more
openaire   +3 more sources

Data-Driven Fault Diagnostics for Industrial Processes: An Application to Penicillin Fermentation Process

open access: yesIEEE Access, 2021
We consider the problem of fault detection and isolation for the penicillin fermentation process. A penicillin fermentation process is a highly complex and nonlinear dynamic process with batch processing.
Muhammad Asim Abbasi   +5 more
doaj   +1 more source

Infrared thermography‐based diagnostics on power equipment: State‐of‐the‐art

open access: yesHigh 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

Fault Detection and Diagnostics for Commercial Coolers and Freezers

open access: yesHVAC&R Research, 2009
Most of the previous diagnostics research for vapor-compression equipment has been performed for packaged air conditioners and chillers. This paper describes application of a decoupling-based diagnostic technique that was originally developed for air conditioners to equipment used in walk-in coolers and freezers.
Wichman, Adam, Braun, James E.
openaire   +2 more sources

HYBRID DEEP FAULT DETECTION AND ISOLATION: COMBINING DEEP NEURAL NETWORKS AND SYSTEM PERFORMANCE MODELS

open access: yesInternational Journal of Prognostics and Health Management, 2019
With the increased availability of condition monitoring data on the one hand and the increased complexity of explicit system physics-based models on the other hand, the application of data-driven approaches for fault detection and isolation has recently ...
Manuel Arias Chao   +3 more
doaj   +1 more source

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