A Stochastic Model for Wear Prediction through Condition Monitoring

Autor: Urho Pulkkinen

Publikováno v: Operational Reliability and Systematic Maintenance ISBN: 9781351075183
Operational Reliability and Systematic Maintenance
Pulkkinen, U 1991, A stochastic model for wear prediction through condition monitoring . in K Holmberg & A Folkeson (eds), Operational Reliability and Systematic Maintenance . Elsevier, London, pp. 223-243 .

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::031bd81815788f2adc83efd35648e40f
https://doi.org/10.1201/9781351075183-12

Application of stochastic filtering for lifetime prediction

Autor: Kaisa Simola, Urho Pulkkinen, Eija Myötyri

Publikováno v: Myötyri, E, Pulkkinen, U & Simola, K 2005, ' Application of stochastic filtering for lifetime prediction ', Reliability Engineering and System Safety, vol. 91, no. 2, pp. 200-208 . https://doi.org/10.1016/j.ress.2005.01.002

This paper introduces a stochastic filtering modeling approach for predicting the remaining lifetime of a component based on information on the stochastic degradation process and uncertain condition monitoring measurements. The model is illustrated b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c5b6eb68d277063a1b1c7ee578cde5a
https://cris.vtt.fi/en/publications/b5c804dd-aad1-417a-9eb9-46b210d0551d

Comparison of approaches for estimating pipe rupture frequencies for risk-informed in-service inspections

Autor: Paeivi Karjalainen-Roikonen, Kaisa Simola, Urho Pulkkinen, Arja Saarenheimo, Heli Talja

Publikováno v: Simola, K, Pulkkinen, U, Karjalainen-Roikonen, P & Saarenheimo, A 2004, ' Comparison of approaches for estimating pipe rupture frequencies for risk-informed in-service inspections ', Reliability Engineering and System Safety, vol. 84, no. 1, pp. 65-74 . https://doi.org/10.1016/j.ress.2003.10.008

This paper describes the comparative study of two approaches to estimate pipe leak and rupture frequencies for piping. One method is based on a probabilistic fracture mechanistic model while the other one is based on statistical estimation of rupture

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a9bce1c3ef8db789acb20d008166bcf
https://doi.org/10.1016/j.ress.2003.10.008

A probabilistic method for detection and location of very high resistive earth faults

Autor: Urho Pulkkinen, Matti Lehtonen, Seppo Hänninen

Publikováno v: Hänninen, S, Lehtonen, M & Pulkkinen, U 2000, ' A probabilistic method for detection and location of very high resistive earth faults ', Electric Power Systems Research, vol. 54, no. 3, pp. 199-206 . https://doi.org/10.1016/S0378-7796(99)00084-X

A probabilistic method is presented for the detection and location of very high resistive, permanent single-phase earth faults in medium voltage, radial operated distribution networks (20 kV). The systems considered have an unearthed or a compensated

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fffa091bf816d61f5281da564709fda
https://doi.org/10.1016/s0378-7796(99)00084-x

Models for non-destructive inspection data

Autor: Urho Pulkkinen, Kaisa Simola

Publikováno v: Simola, K & Pulkkinen, U 1998, ' Models for non-destructive inspection data ', Reliability Engineering and System Safety, vol. 60, no. 1, pp. 1-12 . https://doi.org/10.1016/S0951-8320(97)00087-2

This paper describes the use of statistical models for the evaluation of the reliability of non-destructive inspections. Probability models for the uncertainty in the flaw size determination and the flaw detection are constructed. The flaw sizing mod

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f0ea4e68b4f0e77674a7db98acf0acd
https://doi.org/10.1016/S0951-8320(97)00087-2