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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 ...
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Risk Analysis of Equipment Failure through Failure Mode and Effect Analysis and Fault Tree Analysis

Journal of Failure Analysis and Prevention, 2021
Competitive environment in manufacturing sector cannot afford frequent breakdown of aged critical equipment. In this paper, an attempt is made to develop a method to determine critical equipment with the help of failure mode and effect analysis (FMEA) and occurrence of failure.
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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   +2 more
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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   +4 more
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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
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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
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Decision Support System for Medical Equipment Failure Analysis

2018 9th Cairo International Biomedical Engineering Conference (CIBEC), 2018
Medical equipment management raises a range of complex problems including those associated with maintenance process. In developing countries, hospitals rarely implement a coherent management plan in medical equipment management. One of the most significant challenges is to distinguish medical equipment that requires repair from those require ...
Amira M. Osman   +3 more
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