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Reliability Analysis of Dragline Excavator
Details
The book "Reliability Analysis of Dragline Excavator" examines heavy earthmoving draglines that remove overburden in mechanized surface mines. Using field data, the book applies trend analysis, correlation analysis, and failure distribution modeling to evaluate the reliability of both individual subsystems and the overall dragline. Maintenance schedules are derived at varying reliability levels and optimized through simulation to minimize total maintenance costs. In search of an effective strategy, the study introduces an Opportunistic Maintenance (OM) approach that consolidates reliability-based maintenance (RBM) tasks of multiple, proximate subsystems for simultaneous inspection and repair. The results indicate that OM enhances overall reliability and reduces costs, offering a robust reliability mechanism. The approach is adaptable to draglines in various mines, making it a valuable framework for improving maintenance practices in heavy earthmoving operations. This comprehensive book offers practical insights and guidelines for industry engineers, post graduate and research scholars who are doing research in the area of reliability engineering and maintenance optimization.
Autorentext
Dr. Pushpendra Pandey is currently working as an Assistant Professor in Mechanical Engineering Department of Institute of Engineering and Technology Lucknow, India. He completed his PhD from Indian Institute of Technology (ISM) Dhanbad, India in 2020. His research focuses on reliability analysis and maintenance optimization of industrial equipment.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786208434113
- Genre Mechanical Engineering
- Sprache Englisch
- Anzahl Seiten 176
- Herausgeber LAP LAMBERT Academic Publishing
- Größe H220mm x B150mm x T12mm
- Jahr 2025
- EAN 9786208434113
- Format Kartonierter Einband
- ISBN 6208434114
- Veröffentlichung 04.03.2025
- Titel Reliability Analysis of Dragline Excavator
- Autor Pushpendra Pandey , Ajit Kumar Jha
- Untertitel A Data-Driven Maintenance Optimization Approach to Enhance Reliability in Surface Mining
- Gewicht 280g