Reliability Analysis of Dragline Excavator: A Data-Driven Maintenance Optimization Approach to Enhance Reliability in Surface Mining

Pandey, Pushpendra; Jha, Ajit Kumar

ISBN 10: 6208434114 / ISBN 13: 9786208434113

Edité par LAP LAMBERT Academic Publishing, 2025

A propos de cet article

N° de réf. du vendeur I-9786208434113

Détails bibliographiques

• Titre: Reliability Analysis of Dragline Excavator: A Data-Driven Maintenance Optimization Approach to Enhance Reliability in Surface Mining
• Éditeur: LAP LAMBERT Academic Publishing
• Date de parution: 2025
• Langue: anglais
• ISBN à 10 chiffres: 6208434114
• ISBN à 13 chiffres: 9786208434113
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

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.