A condition-based maintenance policy and input parameters estimation for deteriorating systems under periodic inspection

Neves, Maxstaley L.; Santiago, Leonardo; Maia, Carlos Andrey

doi:10.1016/j.cie.2011.04.005

Cited by 56 publications

(21 citation statements)

References 23 publications

(48 reference statements)

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“…Methods that employ real time operation signals to check the system health condition is called the Condition-based maintenance (CBM) method [3,4]. The CBM method usually employs a pattern recognition technique to tell a normal system status from an abnormal one.…”

Section: Introductionmentioning

confidence: 99%

Identification of location and size of a defect in a structural system employing active external excitation and hybrid feature vector components in HMM

2016

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For the fault diagnosis of a mechanical system, various kinds of methods have been developed so far. For a structural system having a defect, pattern recognition methods such as Hidden Markov model (HMM) and Artificial neural network (ANN) are widely used in engineering fields. A statistical model can be constructed with one of the methods using various signals that are extracted from the structural system of interest. In the present study, a HMM employing hybrid feature vector measures is proposed for the fault diagnosis of a structural system having a defect. To obtain the hybrid feature vector components, five frequency response peaks obtained with FFT and two additional components obtained with ANN are employed. For the proposed method, an active external excitation having some specific frequency components is also applied to the structure to overcome the noise effect. To verify the effectiveness of the proposed method, a numerical model of a rotating blade having a crack is employed. Acceleration signals extracted from the structural system are employed to develop the proposed model so that the location and size of the crack can be identified. Using the proposed method, the diagnostic accuracy of the identification is significantly improved even with high level of noise in the system.

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Section: Introductionmentioning

confidence: 99%

Identification of location and size of a defect in a structural system employing active external excitation and hybrid feature vector components in HMM

2016

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“…Stochastic models are often used to model the system deterioration. They include Markov chains (Chiang & Yuan, 2001;Kopnov & Kanajev, 1994;Neves, Santiago, & Maia, 2011), Gamma processes (Abdel-Hameed, 1975;Van Noortwijk, 2009;van Noortwijk, van der Weide, Kallen, & Pandey, 2007), the cumulative shock damage models (Chen, 2012;Qian, Nakamura, & Nakagawa, 2003;van der Weide & Pandey, 2011).…”

Section: Introductionmentioning

confidence: 99%

Condition-based maintenance policies for a combined wear and shock deterioration model with covariates

Zhu¹,

Fouladirad²,

Bérenguer³

2015

Computers & Industrial Engineering

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“…Recent works related to periodic inspections were studied extensively: inspection intervals with periodic mode were optimised to detect soft failures of a complex repairable system, while hard failures create opportunities for additional inspections of all soft-type components (Taghipour, Banjevic, and Jardine 2010;Taghipour and Banjevic 2012 ). Maintenance or replacement policies with periodic inspections were observed for the systems with several failure modes (Huynh, Barros, Bénguer, and Castro 2011;Neves, Santiago, and Maia 2011). Periodic inspection for a twocomponent repairable system with failure interaction was optimised (Golmakani and Moakedi 2012).…”

Section: Introductionmentioning

confidence: 99%

Optimal periodic and random inspections with first, last and overtime policies

Zhao

Nakagawa

2013

International Journal of Systems Science

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It has been assumed for a standby unit that periodic inspection is performed more easily to detect failures, but such a strict periodic mode would be impractical if the unit is executing some procedures without stops. From the above viewpoint, this paper first optimises a random inspection policy in accordance with random procedure times, compares it with periodic inspection and computes a modified checking cost for random inspection to determine the case where such a random inspection would be adopted. Second, this paper proposes three new inspection models in which inspections with deterministic policies are scheduled strategically while their performances need to be limited by completion times of operation procedures. These policies are called inspection first, inspection last and inspection overtime. The total expected inspection and downtime costs of each model until failure detection are obtained, and optimal policies which minimise them are derived analytically. Furthermore, the three inspection policies are compared with periodic inspection, inspection first and last are compared with each other, and a modified checking cost for inspection overtime is discussed when the policy would be better than periodic inspection.

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A condition-based maintenance policy and input parameters estimation for deteriorating systems under periodic inspection

Cited by 56 publications

References 23 publications

Identification of location and size of a defect in a structural system employing active external excitation and hybrid feature vector components in HMM

Identification of location and size of a defect in a structural system employing active external excitation and hybrid feature vector components in HMM

Condition-based maintenance policies for a combined wear and shock deterioration model with covariates

Optimal periodic and random inspections with first, last and overtime policies

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