A New Degradation Indicator Based on a Statistical Anomaly Approach

Autor(es)

Pordeus Gomes, Joao Paulo ^[1] ; Harrop Galvao, Roberto Kawakami ^[2] ; Yoneyama, Takashi ^[2] ; Leao, Bruno P. ^[3]

Afiliação do(s) autor(es)

^[1] Univ Fed Ceara, Dept Comp Sci, BR-60440900 Fortaleza, Ceara - Brazil

^[2] Inst Tecnol Aeronaut, Dept Elect Engn, BR-12229900 Sao Jose Dos Campos, SP - Brazil

^[3] GE Global Res, Brazil Technol Ctr, BR-21941615 Rio De Janeiro, RJ - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IEEE TRANSACTIONS ON RELIABILITY; v. 65, n. 1, p. 326-335, MAR 2016.
• Citações Web of Science: 5

Resumo

This paper presents a new method for combining measured parameters into a single indicator for monitoring the condition of systems subjected to degradation effects. The proposed approach integrates the use of nonparametric density estimation techniques into Runger's method, which allows for the separation of variables that are directly related to degradation effects from those which are not. Two simulated case studies are presented for illustration, namely, the monitoring of a flap extension and retraction system, and a gas turbine employed as an auxiliary power unit. For comparison, degradation indicators are also calculated by using Hotteling's and Runger's methods, as well as a nonparametric method without separation of variables. In both case studies, the proposed method provided the best results in terms of fault detection performance and suitability for remaining useful life prediction. (AU)

• Processo FAPESP: 11/17610-0 - Monitoramento e controle de sistemas dinâmicos sujeitos a falhas
• Beneficiário: Roberto Kawakami Harrop Galvão
• Modalidade de apoio: Auxílio à Pesquisa - Temático