Failure rate neural analysis in the transport sector

In order to obtain a correct failure diagnosis and to prepare more effective maintenance programmes, it is essential to have reliable forecasts about the trend of equipment and machinery failure rate. In this work attention is focused on the transport sector. First the strong points of the "int...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of operations & production management Vol. 18; no. 8; pp. 778 - 793
Main Authors Bellandi, G., Dulmin, R., Mininno, V.
Format Journal Article
LanguageEnglish
Published Bradford MCB UP Ltd 01.08.1998
Emerald Group Publishing Limited
Subjects
Case studies
Costs
Failure
Failure analysis
Forecasting
Labor force
Maintenance
Maintenance management
Manufacturers
Mathematical functions
Mathematical models
Neural networks
Preventive maintenance
Transport
Maintenance
Transport
Neural networks
Forecasting
Online AccessGet full text

Cover

More Information
Summary:In order to obtain a correct failure diagnosis and to prepare more effective maintenance programmes, it is essential to have reliable forecasts about the trend of equipment and machinery failure rate. In this work attention is focused on the transport sector. First the strong points of the "intelligent" techniques of forecasting are analysed compared to the more traditionally used statistical methodologies, and then a forecasting neural model of the failure rate of the equipment installed on buses and trains is proposed. Finally an application of the model is presented.
Bibliography:href:01443579810230535.pdf
ark:/67375/4W2-K3QR2B2H-8
filenameID:0240180806
istex:D7023B86B7FC032E4EA2D2B6543334A9DDF1EBEC
original-pdf:0240180806.pdf
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0144-3577
1758-6593
DOI:10.1108/01443579810230535