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Modeling of degradation of electric connectors under varying humidity conditions

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Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoProceedings of the 29th European Safety and Reliability Conference, ESREL 2019
ToimittajatMichael Beer, Enrico Zio
KustantajaRESEARCH PUBLISHING SERVICES
Sivut930-937
Sivumäärä8
ISBN (elektroninen)9789811127243
DOI - pysyväislinkit
TilaJulkaistu - 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaEuropean Safety and Reliability Conference - Hannover, Saksa
Kesto: 22 syyskuuta 201926 syyskuuta 2019

Conference

ConferenceEuropean Safety and Reliability Conference
MaaSaksa
KaupunkiHannover
Ajanjakso22/09/1926/09/19

Tiivistelmä

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.

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