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Modeling of degradation of electric connectors under varying humidity conditions

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationProceedings of the 29th European Safety and Reliability Conference, ESREL 2019
EditorsMichael Beer, Enrico Zio
PublisherRESEARCH PUBLISHING SERVICES
Pages930-937
Number of pages8
ISBN (Electronic)9789811127243
DOIs
Publication statusPublished - 2019
Publication typeA4 Article in a conference publication
EventEuropean Safety and Reliability Conference - Hannover, Germany
Duration: 22 Sep 201926 Sep 2019

Conference

ConferenceEuropean Safety and Reliability Conference
CountryGermany
CityHannover
Period22/09/1926/09/19

Abstract

Development of autonomous machinery or highly automated production lines require high reliability in components. Failure of equipment in one phase of a work process can halt the whole production chain. In mining industry, for example, the failure of underground rock drilling machine delays rock excavation and trucks responsible for transporting of ore remain idle during repairs. Modeling of degradation of components in machinery can be used as a prognostic tool for predictive maintenance. Also, unexpected failures and “ad hoc” repairs in field can be avoided, which is a personnel safety issue. In highly automated machinery, data transfer components make major contribution to equipment reliability. Therefore, it is important to test components in conditions matching real operating conditions. Acquired degradation data makes possible to model the degradation process and predict its evolution over time. In this study, varying humidity exposure to CAN-bus connector used in underground mine machinery was simulated. Three different exposure conditions were used. These conditions were modeled separately with deterministic function models, and combined to form a cumulative degradation model. The paper comprises a procedure to test waterproofness of connector components, the response of observed connector condition to changing exposure, modeling of degradation in varying test condition, and how degradation evolves as a function of exposure and time. The presented method can be used as a base for modeling of other similar objects.

Keywords

  • Accelerated, Degradation, Humidity, Maintenance, Modeling, Multivariate, Reliability, Tailored, Testing

Publication forum classification

Field of science, Statistics Finland