Failure Prediction of Critical Mine Machinery

Failure Prediction of Critical Mine Machinery
Author:
Publisher:
Total Pages: 93
Release: 2021
Genre: Electronic dissertations
ISBN:

Pump failure prediction -- Compressor failure prediction -- Scraper winch failure prediction -- Reliability engineering -- Reliability improvement -- Weibull analysis

Advances in Production Management Systems. Smart Manufacturing for Industry 4.0

Advances in Production Management Systems. Smart Manufacturing for Industry 4.0
Author: Ilkyeong Moon
Publisher: Springer
Total Pages: 518
Release: 2018-08-24
Genre: Computers
ISBN: 3319997076

The two-volume set IFIP AICT 535 and 536 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2018, held in Seoul, South Korea, in August 2018. The 129 revised full papers presented were carefully reviewed and selected from 149 submissions. They are organized in the following topical sections: lean and green manufacturing; operations management in engineer-to-order manufacturing; product-service systems, customer-driven innovation and value co-creation; collaborative networks; smart production for mass customization; global supply chain management; knowledge based production planning and control; knowledge based engineering; intelligent diagnostics and maintenance solutions for smart manufacturing; service engineering based on smart manufacturing capabilities; smart city interoperability and cross-platform implementation; manufacturing performance management in smart factories; industry 4.0 - digital twin; industry 4.0 - smart factory; and industry 4.0 - collaborative cyber-physical production and human systems.

Evolution, Monitoring and Predicting Models of Rockburst

Evolution, Monitoring and Predicting Models of Rockburst
Author: Chunlai Wang
Publisher: Springer
Total Pages: 199
Release: 2017-12-13
Genre: Science
ISBN: 9811075484

This open access book focuses on investigating predicting precursor information and key points of rockburst in mining engineering through laboratory experiment, theoretical analysis, numerical simulation and case studies. Understanding the evolution patterns for the microstructure instability of rock is a prerequisite for rockburst prediction. The book provides a guide for readers seeking to understand the evolution patterns for the microstrucure of rock failure, the predicting key point of rock failure and the rockburst predicting model. It will be an essential reference to understand mechanism of rockburst and sheds new light on dynamic disasters prediction. Chapters are carefully developed to cover (1) The evolution patterns for the microstructure instability of rock; (2) Rockburst hazard monitoring and predicting criterion and predicting models. The book addresses the issue with a holistic and systematic approach that investigates the occurrence mechanism of rockburst based on the evolution patterns for the microstructure of rock failure and establishes the predicting model of rockburst. This book will be of interest to researchers of mining engineering, rock mechanics engineering and safety engineering.