Selection and identification of a shape function for modeling degradation as a gamma process

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

1 Citation (Scopus)

Abstract

This paper proposes an approach for estimation of Remaining Useful Life (RUL), in which data from earlier lifetimes is utilized in the identification of the functional shape of degradation. A set of candidate shape functions are identified, and one of them is selected for RUL estimation, and consequently for inference, based on information theory. The feasibility of the approach is studied using functional forms of degradation acquired through air filter loading experiments and air quality measurements representing degrading factors. The study indicates the usefulness of utilizing data from previous lifetimes when reliable enough a priori information of the degradation phenomena is not available. The observed improvement in accuracy was considerable at long prediction horizons, which is beneficial especially in Condition-Based Maintenance applications (not limited to air filters) with infrequent maintenance shutdowns.
Original languageEnglish
Title of host publicationProceedings of the 9th International Workshop on Structural Health Monitoring
Subtitle of host publicationIWSHM 2013
Place of PublicationLancaster, Pa., USA
PublisherDEStech Publications Inc.
Pages791-798
ISBN (Print)978-1-60595-115-7
Publication statusPublished - 2013
MoE publication typeNot Eligible
Event9th International Workshop on Structural Health Monitoring, IWSHM 2013 - Stanford, CA, United States
Duration: 10 Sep 201312 Sep 2013

Conference

Conference9th International Workshop on Structural Health Monitoring, IWSHM 2013
Abbreviated titleIWSHM 2013
CountryUnited States
CityStanford, CA
Period10/09/1312/09/13

Fingerprint

Air filters
Degradation
Information theory
Air quality
Experiments

Keywords

  • remaining useful life
  • maintenance
  • ari filters

Cite this

Saarela, O., Nystad, B. H., Taipale, A., & Ventä, O. (2013). Selection and identification of a shape function for modeling degradation as a gamma process. In Proceedings of the 9th International Workshop on Structural Health Monitoring : IWSHM 2013 (pp. 791-798). Lancaster, Pa., USA: DEStech Publications Inc..
Saarela, Olli ; Nystad, B.H. ; Taipale, Aimo ; Ventä, Olli. / Selection and identification of a shape function for modeling degradation as a gamma process. Proceedings of the 9th International Workshop on Structural Health Monitoring : IWSHM 2013. Lancaster, Pa., USA : DEStech Publications Inc., 2013. pp. 791-798
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abstract = "This paper proposes an approach for estimation of Remaining Useful Life (RUL), in which data from earlier lifetimes is utilized in the identification of the functional shape of degradation. A set of candidate shape functions are identified, and one of them is selected for RUL estimation, and consequently for inference, based on information theory. The feasibility of the approach is studied using functional forms of degradation acquired through air filter loading experiments and air quality measurements representing degrading factors. The study indicates the usefulness of utilizing data from previous lifetimes when reliable enough a priori information of the degradation phenomena is not available. The observed improvement in accuracy was considerable at long prediction horizons, which is beneficial especially in Condition-Based Maintenance applications (not limited to air filters) with infrequent maintenance shutdowns.",
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Saarela, O, Nystad, BH, Taipale, A & Ventä, O 2013, Selection and identification of a shape function for modeling degradation as a gamma process. in Proceedings of the 9th International Workshop on Structural Health Monitoring : IWSHM 2013. DEStech Publications Inc., Lancaster, Pa., USA, pp. 791-798, 9th International Workshop on Structural Health Monitoring, IWSHM 2013, Stanford, CA, United States, 10/09/13.

Selection and identification of a shape function for modeling degradation as a gamma process. / Saarela, Olli; Nystad, B.H.; Taipale, Aimo; Ventä, Olli.

Proceedings of the 9th International Workshop on Structural Health Monitoring : IWSHM 2013. Lancaster, Pa., USA : DEStech Publications Inc., 2013. p. 791-798.

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

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AU - Taipale, Aimo

AU - Ventä, Olli

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N2 - This paper proposes an approach for estimation of Remaining Useful Life (RUL), in which data from earlier lifetimes is utilized in the identification of the functional shape of degradation. A set of candidate shape functions are identified, and one of them is selected for RUL estimation, and consequently for inference, based on information theory. The feasibility of the approach is studied using functional forms of degradation acquired through air filter loading experiments and air quality measurements representing degrading factors. The study indicates the usefulness of utilizing data from previous lifetimes when reliable enough a priori information of the degradation phenomena is not available. The observed improvement in accuracy was considerable at long prediction horizons, which is beneficial especially in Condition-Based Maintenance applications (not limited to air filters) with infrequent maintenance shutdowns.

AB - This paper proposes an approach for estimation of Remaining Useful Life (RUL), in which data from earlier lifetimes is utilized in the identification of the functional shape of degradation. A set of candidate shape functions are identified, and one of them is selected for RUL estimation, and consequently for inference, based on information theory. The feasibility of the approach is studied using functional forms of degradation acquired through air filter loading experiments and air quality measurements representing degrading factors. The study indicates the usefulness of utilizing data from previous lifetimes when reliable enough a priori information of the degradation phenomena is not available. The observed improvement in accuracy was considerable at long prediction horizons, which is beneficial especially in Condition-Based Maintenance applications (not limited to air filters) with infrequent maintenance shutdowns.

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Saarela O, Nystad BH, Taipale A, Ventä O. Selection and identification of a shape function for modeling degradation as a gamma process. In Proceedings of the 9th International Workshop on Structural Health Monitoring : IWSHM 2013. Lancaster, Pa., USA: DEStech Publications Inc. 2013. p. 791-798