An introduction to the studies of reliability of systems using the Weibull proportional hazards model

Jóźwiak, Ireneusz J.

doi:10.1016/s0026-2714(96)00285-5

Cited by 26 publications

(9 citation statements)

References 7 publications

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“…The most popular distribution model for the failure function is the Weibull model (Eq1), because of its flexibility. It is suitable to study the lifetime of components with different hazard rate functions ( Jóźwiak, 1997 ). Its mathematical formulation is as follows:

…”

Section: Maintenance Planning and Schedulingmentioning

confidence: 99%

Asset maintenance optimisation approaches in the chemical and process industries – A review

Chin

Varbanov

Benjamin

et al. 2020

Chemical Engineering Research and Design

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…”

Section: Maintenance Planning and Schedulingmentioning

confidence: 99%

Asset maintenance optimisation approaches in the chemical and process industries – A review

Chin

Varbanov

Benjamin

et al. 2020

Chemical Engineering Research and Design

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“…PHM, which was first proposed in [29], has received popularity in the field of reliability engineering in recent years [30][31][32].PHM states that the failure rate of an element is the product of the baseline hazard rate and factors based on the conditions. In general, PHM can be expressed as follows.…”

Section: Load Dependent Failure Rate and Performancementioning

confidence: 99%

Optimal loading and protection of multi-state systems considering performance sharing mechanism

Xiao

Shi

Ding

et al. 2016

Reliability Engineering & System Safety

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Engineering systems are designed to carry the load. The performance of the system largely depends on how much load it carries. On the other hand, the failure rate of the system is strongly affected by its load. Besides internal failures, such as fatigue and aging process, systems may also fail due to external impacts such as nature disasters and terrorism. In this paper, we integrate the effect of loading and protection of external impacts on multi-state systems with performance sharing mechanism. The objective of this research is to determine how to balance the load and protection on system elements. An availability evaluation algorithm of the proposed system is suggested and the corresponding optimization problem is solved utilizing genetic algorithms.

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“…This technique requires both event and condition data for modeling process, thus the system becomes more complex. There are several papers which used these techniques as in [9][10][11]. Jozwiak [9] presented in his work that in order to solve the reliability of the system, the associated variables in the system must be considered.…”

Section: F (T)mentioning

confidence: 99%

“…There are several papers which used these techniques as in [9][10][11]. Jozwiak [9] presented in his work that in order to solve the reliability of the system, the associated variables in the system must be considered. The Cox and Weibull models are studied, in which the method to estimate the parameters in these models is presented.…”

Section: F (T)mentioning

confidence: 99%

Predicting remaining useful life of rotating machinery based artificial neural network

Mahamad

Saon

Hiyama

2010

Computers & Mathematics with Applications

220

110

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a b s t r a c tAccurate remaining useful life (RUL) prediction of machines is important for condition based maintenance (CBM) to improve the reliability and cost of maintenance. This paper proposes artificial neural network (ANN) as a method to improve accurate RUL prediction of bearing failure. For this purpose, ANN model uses time and fitted measurements Weibull hazard rates of root mean square (RMS) and kurtosis from its present and previous points as input. Meanwhile, the normalized life percentage is selected as output. By doing that, the noise of a degradation signal from a target bearing can be minimized and the accuracy of prognosis system can be improved. The ANN RUL prediction uses FeedForward Neural Network (FFNN) with Levenberg Marquardt of training algorithm. The results from the proposed method shows that better performance is achieved in order to predict bearing failure.

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An introduction to the studies of reliability of systems using the Weibull proportional hazards model

Cited by 26 publications

References 7 publications

Asset maintenance optimisation approaches in the chemical and process industries – A review

Asset maintenance optimisation approaches in the chemical and process industries – A review

Optimal loading and protection of multi-state systems considering performance sharing mechanism

Predicting remaining useful life of rotating machinery based artificial neural network

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