Results 271 to 280 of about 2,051,648 (322)

Probability Analysis for Failure Assessment of Electric Energy Metering Equipment Under Multiple Extreme Stresses

IEEE Transactions on Industrial Informatics, 2021
The failure evaluation of electric energy metering equipment is essential for the equipment design and accurate measurement of electric energy, especially in extreme environmental stress.
W. Qiu, Qiu Tang, Wenxuan Yao, Yuhong Qin, Jun Ma   +4 more
semanticscholar   +1 more source

Extended failure mode and effect analysis approach based on hesitant fuzzy linguistic Z-numbers for risk prioritisation of nuclear power equipment failures

Journal of Intelligent & Fuzzy Systems, 2021
The successful diagnosis of nuclear power equipment failures plays a vital role in guaranteeing the safe operation of nuclear power systems. Failure mode and effect analysis (FMEA) is one of the most commonly used methods for identifying potential ...
Heng-Ming Peng, Xiao‐kang Wang, Tie-Li Wang, Ya-hua Liu, Jian-qiang Wang   +4 more
semanticscholar   +1 more source

Analysis and prevention of equipment failures

Glavnyj mekhanik (Chief Mechanic), 2021
The Enterprise Asset Management Association (EAM Association) is pleased to announce the completion of the second book of the two-part edition on the methodology for managing equipment failures. While the first part dealt with the issues of investigation and accounting, the second, being its logical continuation, offers theoretical understanding and ...
openaire   +1 more source

Failure analysis of frontal load-bar equipment

Engineering Failure Analysis, 2005
Abstract In the paint shop lines of an automotive plant, vehicles are moved around suspended by a vehicle-supporting mechanism composed of frontal and rear load-bars. Furthermore, the frontal load-bar is used as an electrical contact point for energy conduction, whereas the rear load-bar is electrically insulated.
Paulo Paiva, Gervásio Pimenta, Celso Araujo   +2 more
openaire   +1 more source

Categorical data analysis for equipment failure prediction

2008 34th Annual Conference of IEEE Industrial Electronics, 2008
The effective approach to monitor the health state of equipment has long been a concern of industrial applications. This paper focuses on the categorical data analysis to build equipment degradation model for predicting equipment failure and monitoring the health state of equipment. Since large volumes of categorical data are generated and collected in
M. Luo, X. Li, D.H. Zhang, Y.Z. Zhao, P.C. Lim   +4 more
openaire   +1 more source

Probabilistic seismic risk analysis of electrical substations considering equipment-to-equipment seismic failure correlations

Reliability Engineering & System Safety
Huangbin Liang, Qiang Xie
openaire   +2 more sources

Failure Analysis of Photovoltaic Equipment Based on ISOMPNN

2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), 2019
ISOMPNN, a new incremental learning method based on the self-organizing map (SOM) and probabilistic neural network (PNN) is proposed to tackle the problem of model self-adaptation when new categories of equipment failures occur. It uses a modular SOM to learn each category of photovoltaic device data and then constructs a PNN using the prototype vector
Jiyun Li, Xie Long
openaire   +1 more source

Partial Discharge Investigation and Failure Analysis on Distribution Network Using Acoustic Camera

International Electrical Engineering Congress, 2021
This paper presents practical partial discharge (PD) investigation by using mobile acoustic camera with HV and MV equipment in distribution network.
Suwanasri Suwanasri, Worapoj Khetcharoen, T. Suwanasri, Nattapon Panmala, Shan Rungsivattagapong, Nattawut Atiwet, Papatsporn Poonpoch   +6 more
semanticscholar   +1 more source

Implementation of RFID-based Equipment Management System for Failure Analysis Laboratory Equipment

International Symposium for Testing and Failure Analysis, 2023
Abstract Completion of failure analysis (FA) cases require a lot of expensive equipment and tools. Equipment Management System (EMS) is a must to safeguard the equipment from being down/damaged due to uncertified/untrained and high number of users and to avoid high repair cost of the FA laboratory equipment.
Acer Jay Castillo, Mark Anthony Acedillo
openaire   +1 more source

Improved seismic risk evaluation for high‐voltage switchgear equipment: A copula‐based framework considering joint failure modes

Earthquake Engineering & Structural Dynamics, 2023
Traditional seismic evaluations for high‐voltage switchgear equipment, the critical power facilities, consider only structural failure mode and may underestimate the actual seismic risk.
Jiayi Wen, Xiaoxuan Li, Yuxiang Zhu
semanticscholar   +1 more source