Assessing the Technical Specifications of Predictive Maintenance: A Case Study of Centrifugal Compressor
Dependability analyses in the design phase are common in IEC 60300 standards to assess the reliability, risk, maintainability, and maintenance supportability of specific physical assets. Reliability and risk assessment uses well-known methods such as failure modes, effects, and criticality analysis...
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doaj-ee74e6b65de44827ae227671fa6c5b172021-02-09T00:03:04ZengMDPI AGApplied Sciences2076-34172021-02-01111527152710.3390/app11041527Assessing the Technical Specifications of Predictive Maintenance: A Case Study of Centrifugal CompressorHelge Nordal0Idriss El-Thalji1Department of Mechanical and Structural Engineering and Material Science, University of Stavanger, 4036 Stavanger, NorwayDepartment of Mechanical and Structural Engineering and Material Science, University of Stavanger, 4036 Stavanger, NorwayDependability analyses in the design phase are common in IEC 60300 standards to assess the reliability, risk, maintainability, and maintenance supportability of specific physical assets. Reliability and risk assessment uses well-known methods such as failure modes, effects, and criticality analysis (FMECA), fault tree analysis (FTA), and event tree analysis (ETA)to identify critical components and failure modes based on failure rate, severity, and detectability. Monitoring technology has evolved over time, and a new method of failure mode and symptom analysis (FMSA) was introduced in ISO 13379-1 to identify the critical symptoms and descriptors of failure mechanisms. FMSA is used to estimate monitoring priority, and this helps to determine the critical monitoring specifications. However, FMSA cannot determine the effectiveness of technical specifications that are essential for predictive maintenance, such as detection techniques (capability and coverage), diagnosis (fault type, location, and severity), or prognosis (precision and predictive horizon). The paper proposes a novel predictive maintenance (PdM) assessment matrix to overcome these problems, which is tested using a case study of a centrifugal compressor and validated using empirical data provided by the case study company. The paper also demonstrates the possible enhancements introduced by Industry 4.0 technologies.https://www.mdpi.com/2076-3417/11/4/1527predictive maintenanceeffectiveness assessmentindustry 4.0oil and gascentrifugal compressortechnical safety |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Helge Nordal Idriss El-Thalji |
spellingShingle |
Helge Nordal Idriss El-Thalji Assessing the Technical Specifications of Predictive Maintenance: A Case Study of Centrifugal Compressor Applied Sciences predictive maintenance effectiveness assessment industry 4.0 oil and gas centrifugal compressor technical safety |
author_facet |
Helge Nordal Idriss El-Thalji |
author_sort |
Helge Nordal |
title |
Assessing the Technical Specifications of Predictive Maintenance: A Case Study of Centrifugal Compressor |
title_short |
Assessing the Technical Specifications of Predictive Maintenance: A Case Study of Centrifugal Compressor |
title_full |
Assessing the Technical Specifications of Predictive Maintenance: A Case Study of Centrifugal Compressor |
title_fullStr |
Assessing the Technical Specifications of Predictive Maintenance: A Case Study of Centrifugal Compressor |
title_full_unstemmed |
Assessing the Technical Specifications of Predictive Maintenance: A Case Study of Centrifugal Compressor |
title_sort |
assessing the technical specifications of predictive maintenance: a case study of centrifugal compressor |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-02-01 |
description |
Dependability analyses in the design phase are common in IEC 60300 standards to assess the reliability, risk, maintainability, and maintenance supportability of specific physical assets. Reliability and risk assessment uses well-known methods such as failure modes, effects, and criticality analysis (FMECA), fault tree analysis (FTA), and event tree analysis (ETA)to identify critical components and failure modes based on failure rate, severity, and detectability. Monitoring technology has evolved over time, and a new method of failure mode and symptom analysis (FMSA) was introduced in ISO 13379-1 to identify the critical symptoms and descriptors of failure mechanisms. FMSA is used to estimate monitoring priority, and this helps to determine the critical monitoring specifications. However, FMSA cannot determine the effectiveness of technical specifications that are essential for predictive maintenance, such as detection techniques (capability and coverage), diagnosis (fault type, location, and severity), or prognosis (precision and predictive horizon). The paper proposes a novel predictive maintenance (PdM) assessment matrix to overcome these problems, which is tested using a case study of a centrifugal compressor and validated using empirical data provided by the case study company. The paper also demonstrates the possible enhancements introduced by Industry 4.0 technologies. |
topic |
predictive maintenance effectiveness assessment industry 4.0 oil and gas centrifugal compressor technical safety |
url |
https://www.mdpi.com/2076-3417/11/4/1527 |
work_keys_str_mv |
AT helgenordal assessingthetechnicalspecificationsofpredictivemaintenanceacasestudyofcentrifugalcompressor AT idrisselthalji assessingthetechnicalspecificationsofpredictivemaintenanceacasestudyofcentrifugalcompressor |
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1724278836235862016 |