Results 201 to 210 of about 217,197 (263)

Interhospital Transportation of Pediatric Patients Undergoing Venovenous Extracorporeal Membrane Oxygenation (VV ECMO) Support-A 3-Year Regional Experience. [PDF]

open access: yesPediatr Rep
Kociński B   +8 more
europepmc   +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

A hybrid expert system for equipment failure analysis

Expert Systems with Applications, 2005
This paper outlines the development of a web-based expert system, equipment failure analysis expert system (EFAES), for the largest steel company in Taiwan. The EFAES inference engine employs both case-based reasoning (CBR) and rule-based reasoning (RBR) to generate a hybrid recommendation list for cross validation.
Hei-Chia Wang, Huei-Sen Wang
openaire   +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

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
openaire   +1 more source

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

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