Establishment of the optimal time interval between periodic inspections for redundant systems

Mendes, Angélica Alebrant; Coit, David W.; Ribeiro, José Luís Duarte

doi:10.1016/j.ress.2014.06.021

Cited by 33 publications

(8 citation statements)

References 27 publications

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“…If one subsystem fails, the remaining subsystem(s) also takes over its workload. As illustrated by this example, redundancies in a system already influence maintenance strategies that do not take into account the current system state, namely corrective maintenance and preventive maintenance (Dong, Liu, & Du, 2019;Mendes, Coit, & Ribeiro, 2014). However, for maintenance strategies such as predictive maintenance, redundancy is particularly important.…”

Section: Data History Range (Criterion 11) Examines the Degradation Trajectories Available For Developing A Prognosis Applicationmentioning

confidence: 99%

Creation of Publicly Available Data Sets for Prognostics and Diagnostics Addressing Data Scenarios Relevant to Industrial Applications

Fabian

Hagmeyer

Zeiler

2021

IJPHM

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For a successful realization of prognostics and health management (PHM), the availability of sufficient run-to-failure data sets is a crucial factor. The sheer number of given data points holds less importance than the full coverage of the potential state space. However, full coverage is a major challenge in most industrial applications. Among other things, high investment and operating costs as well as the long service life of many technical systems make it difficult to acquire complete run-to-failure data sets. Consequently, in industrial applications data sets with specific deficiencies are frequently encountered. The development of appropriate methods to address such data scenarios is a fundamental research issue. Therefore, the purpose of this paper is to provide facilitation for this research. Accordingly, the paper starts by specifying the value and availability of data in PHM. Subsequently, criteria for characterizing data sets are defined independent of the actual PHM application. The criteria are used to identify typical data scenarios with specific deficiencies that possess significant relevance for industrial applications. Thereafter, the most comprehensive overview of data sets suitable for PHM and currently publicly accessible is provided. Thereby, not all previously identified data scenarios with their specific deficiencies are addressed by at least one data set. A program is established for the aforementioned facilitation of further research. One objective of the program is to create data sets reflecting these data scenarios using a test bench. First, possible applications and their degradation processes to be studied on the test bench are briefly characterized. Thereby, the final decision to select filtration as a test bench application is argued. Subsequently, the test bench created is introduced, including a description of the functional concept, pneumatic layout and components involved, as well as the filter media and test dusts employed. Typical run-to-failure trajectories are illustrated. Thereafter, the data set published under the name Preventive to Predictive Maintenance is presented. Additionally, a schedule for future releases of data sets on further industry-relevant data scenarios is sketched.

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Section: Data History Range (Criterion 11) Examines the Degradation Trajectories Available For Developing A Prognosis Applicationmentioning

confidence: 99%

Creation of Publicly Available Data Sets for Prognostics and Diagnostics Addressing Data Scenarios Relevant to Industrial Applications

Fabian

Hagmeyer

Zeiler

2021

IJPHM

View full text Add to dashboard Cite

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“…Frequent inspections increase the availability of the system, but require higher costs of preventive maintenance. On the other hand, longer periods between inspections decrease inspection total costs, but can increase the costs of corrective maintenance (component and system repair, safety accidents) and downtime since there are longer periods where the system can be unavailable (Alebrant Mendes et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

The establishment of the time interval between inspections for a cold standby system with component repair

Mendes

Ribeiro

2017

Prod.

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The time interval between inspections of cold standby systems is a crucial decision to ensure the appropriated system reliability and the lowest costs possible. This paper presents a model developed to establish the optimal time interval between inspections for a two-unit cold standby system with component repair and subject to periodic inspection, considering reliability and costs. A Markov chain is used to define possible states, their transition probabilities and the mean time to system failure, as a function of the time interval between inspections. Given the mean time to system failure, the steady state availability is determined. Finally, the costs related to the system maintenance are established and a cost function is developed and optimized for the time interval between inspections. Numerical examples are presented and results for different system parameters are compared. Besides optimizing the time interval between inspections, the analyses also reveal the effect of repair time on system availability and mean time to system failure.

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“…To assure higher levels of reliability, these redundant systems require continuous monitoring or periodic inspections to identify and recover eventual faults in their components. Thus, the reliability of redundant systems should be analyzed considering the maintenance strategy applied . Moghaddass et al stand that when continuous monitoring is not feasible, periodic tests are necessary to verify failures and to ensure the proper operation of cold standby when it is required.…”

Section: Introductionmentioning

confidence: 99%

“…In these redundant systems subjected to periodic inspections, if a failure occurs, they remain unprotected until the next inspection. In this case, the determination of an optimal time interval between periodic inspections is a fundamental aspect …”

Section: Introductionmentioning

confidence: 99%

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An Accessible Way to Establish Reliability and Expected Time-to-Failure for Cold Standby Redundant Systems Subject to Periodic Inspections

Mendes

Ribeiro

2015

Qual. Reliab. Engng. Int.

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Cold standby systems subject to periodic inspections are widely applied in industry. However, the establishment of system reliability, expected time to failure, and appropriate time interval between inspections in a form accessible to industrial and maintenance engineers are still challenging issues. This paper aims to develop equations that solve this problem based on an analysis of expected exposure time for active and redundant components. A table and a general analytic expression along with graphs were elaborated to allow for the establishment of the appropriate time interval between inspections, given the level of reliability required and the number of standbys available. The main advantage of the results presented in this paper is the ability to conduct the reliability evaluation without the use of complex formulations such as Markov process or Laplace transforms that are usually beyond the skills of the industrial and maintenance staff. Also, a comparison with the exact solution using probability theory is presented, and it is proved that the method developed in this study provides a good approximation for practical applications.

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Establishment of the optimal time interval between periodic inspections for redundant systems

Cited by 33 publications

References 27 publications

Creation of Publicly Available Data Sets for Prognostics and Diagnostics Addressing Data Scenarios Relevant to Industrial Applications

Creation of Publicly Available Data Sets for Prognostics and Diagnostics Addressing Data Scenarios Relevant to Industrial Applications

The establishment of the time interval between inspections for a cold standby system with component repair

An Accessible Way to Establish Reliability and Expected Time-to-Failure for Cold Standby Redundant Systems Subject to Periodic Inspections

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