This book delves into the maintenance challenges faced by various mining engineering sectors. Covering aspects like policy selection, breakdown prediction, risk assessment, equipment monitoring, and implementation of preventive measures, it offers practical solutions. Focused on real-world scenarios, this book equips aspiring professionals with hands-on skills essential for effective maintenance management in mining industries. Each chapter begins with a clear introduction and is followed by a series of exercises, providing students with a solid grasp of fundamental concepts and their practical application.

Focus on real-world scenarios of mining maintenance Provides a series of exercises in each chapter Covers policy selection and risk assessment in mining maintenance

Autorentext

Dr. Carlos Sierra is a mining and geological engineer with an MSc in Civil Engineering, an MSc in Environmental Engineering, and a postgraduate education certificate. For the last ten years, he has taught mining engineering courses at the Universities of Oviedo and Cantabria in Spain and ESPOL in Ecuador. He is an Associate Professor of Mining Methods at the University of León in Spain. His research focuses on advanced techniques for characterizing materials and in mineral processing. Mr. Emilio Andrea is an Industrial Engineer who graduated from the University of Cantabria. He holds an advanced certification in Occupational Risk Prevention, specializing in Workplace Safety. From 2013 to 2016, he served as an adjunct professor at the University of Cantabria, where he taught Nuclear Technology. Since 2007, he has been with Equipos Nucleares, SA, working in the Procurement Department. He currently serves as the Head of the Materials, Subcontracts, and Supplies Unit.

Inhalt

Chapter 1. Introduction to Maintenance.- Chapter 2. Maintenance and Reliability.- Chapter 3. System Reliability.- Chapter 4. Reliability Functions.- Chapter 5. Corporate Maintenance Strategies.- Chapter 6. Maintenance Costs.- Chapter 7. Sizing of Maintenance Service. Chapter 8. Predictive Maintenance Techniques.