PREDICTIVE MAINTENANCE PROJECTS IN THE OIL AND GAS INDUSTRY
DOI:
https://doi.org/10.24867/23GI13IsmaelKeywords:
Predictive Maintenance, PdM, Maintenance, Condition Monitoring, Industry 4.0, vibration, reliabilityAbstract
In this paper, we attempt to identify techniques that can be used to maintain equipment availability and reliability at an acceptable level and will also provide evidence of increasing equipment reliability by incorporating predictive maintenance techniques and redesigning existing maintenance programs to ensure continuous improvement is achieved in the oil and gas sector in Libya specialized in refining petroleum products.
References
[1] (Lofsten, 2000). Hans Lofsten (2000), Measuring maintenance performance - in search for a maintenance productivity index.
[2] Bai, Chunguang; Dallasega, Patrick; Orzes, Guido; Sarkis, Joseph (1 November 2020). "Industry 4.0 technologies assessment: A sustainability perspective". International Journal of Production Economics.
[3] Predictive Maintenance 4.0 Predict the unpredictable.
[4] “5 Types Of Industrial Maintenance Programs,” Quality Millwright, Jun. 19, 2019.
[5] Nandi, S., Toliyat, H. A., & Li, X. (2005). Condition monitoring and fault diagnosis of electrical motors- A review.
[2] Bai, Chunguang; Dallasega, Patrick; Orzes, Guido; Sarkis, Joseph (1 November 2020). "Industry 4.0 technologies assessment: A sustainability perspective". International Journal of Production Economics.
[3] Predictive Maintenance 4.0 Predict the unpredictable.
[4] “5 Types Of Industrial Maintenance Programs,” Quality Millwright, Jun. 19, 2019.
[5] Nandi, S., Toliyat, H. A., & Li, X. (2005). Condition monitoring and fault diagnosis of electrical motors- A review.
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Published
2023-07-31
Issue
Section
Industrial Engineering and Management
