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Modeling of degradation of electric connectors under varying humidity conditions

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Modeling of degradation of electric connectors under varying humidity conditions. / Ojala, Petteri; Rämö, Jari; Nieminen, Ilpo; Miettinen, Juha.

Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. toim. / Michael Beer; Enrico Zio. RESEARCH PUBLISHING SERVICES, 2019. s. 930-937.

Tutkimustuotosvertaisarvioitu

Harvard

Ojala, P, Rämö, J, Nieminen, I & Miettinen, J 2019, Modeling of degradation of electric connectors under varying humidity conditions. julkaisussa M Beer & E Zio (toim), Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. RESEARCH PUBLISHING SERVICES, Sivut 930-937, Hannover, Saksa, 22/09/19. https://doi.org/10.3850/978-981-11-2724-3_0227-cd

APA

Ojala, P., Rämö, J., Nieminen, I., & Miettinen, J. (2019). Modeling of degradation of electric connectors under varying humidity conditions. teoksessa M. Beer, & E. Zio (Toimittajat), Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (Sivut 930-937). RESEARCH PUBLISHING SERVICES. https://doi.org/10.3850/978-981-11-2724-3_0227-cd

Vancouver

Ojala P, Rämö J, Nieminen I, Miettinen J. Modeling of degradation of electric connectors under varying humidity conditions. julkaisussa Beer M, Zio E, toimittajat, Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. RESEARCH PUBLISHING SERVICES. 2019. s. 930-937 https://doi.org/10.3850/978-981-11-2724-3_0227-cd

Author

Ojala, Petteri ; Rämö, Jari ; Nieminen, Ilpo ; Miettinen, Juha. / Modeling of degradation of electric connectors under varying humidity conditions. Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. Toimittaja / Michael Beer ; Enrico Zio. RESEARCH PUBLISHING SERVICES, 2019. Sivut 930-937

Bibtex - Lataa

@inproceedings{7666cfde52ed47108aea114f048c905c,
title = "Modeling of degradation of electric connectors under varying humidity conditions",
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",
author = "Petteri Ojala and Jari R{\"a}m{\"o} and Ilpo Nieminen and Juha Miettinen",
year = "2019",
doi = "10.3850/978-981-11-2724-3_0227-cd",
language = "English",
pages = "930--937",
editor = "Michael Beer and Enrico Zio",
booktitle = "Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019",
publisher = "RESEARCH PUBLISHING SERVICES",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Modeling of degradation of electric connectors under varying humidity conditions

AU - Ojala, Petteri

AU - Rämö, Jari

AU - Nieminen, Ilpo

AU - Miettinen, Juha

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Accelerated

KW - Degradation

KW - Humidity

KW - Maintenance

KW - Modeling

KW - Multivariate

KW - Reliability

KW - Tailored

KW - Testing

U2 - 10.3850/978-981-11-2724-3_0227-cd

DO - 10.3850/978-981-11-2724-3_0227-cd

M3 - Conference contribution

SP - 930

EP - 937

BT - Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019

A2 - Beer, Michael

A2 - Zio, Enrico

PB - RESEARCH PUBLISHING SERVICES

ER -