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The MANTIS book: Cyber Physical System Based Proactive Collaborative Maintenance.
Ref: CISTER-TR-181009       Publication Date: Jan 2019

The MANTIS book: Cyber Physical System Based Proactive Collaborative Maintenance.

Ref: CISTER-TR-181009       Publication Date: Jan 2019

Abstract:
This book aims to highlight the fundamental underpinnings of Condition-Based Maintenance and related conceptual ideas. It also presents an overall view of preventive maintenance, including its potential economic impact and latest technical solutions. The core content of this book describes the outcome of the MANTIS project. The ambition was to support the creation of a platform to enable novel kinds of maintenance strategies for industrial machinery. The key enabler was considered to be the carefully crafted symbiotic combination of data collection through Cyber-Physical Systems, and the use of machine learning techniques and advanced visualization for the enhanced monitoring and diagnosis of the machines. After more than 3 years of hard work, the MANTIS consortium has spent uncountable hours on the MANTIS platform, working on its implementation and its application to a wide range of industrial use cases. It is our sincere hope that others will, with the help of this book and on-line resources, benefit from the MANTIS platform. Hopefully we can build an open community around this technology so that the maintenance industry can take a step into the future of massive, agile yet affordable monitoring systems. The book is therefore suitable for industrial and maintenance managers that want to implement a new, or enhance an existing, maintenance system for their companies. This book should give them a basic idea of the first required steps in implementing advanced monitoring and analytics systems. Chapter 1 describes the fundamentals of advanced monitoring practices and strategies in industry, and sets the context for the rest of the book. Chapter 2 delves into the economical pillars behind advanced monitoring and analytics that lead to the importance of both technological advances and new business models, which promote the acceptance of these technologies. Chapter 3 describes the architecture envisioned for a collaborative platform for proactive maintenance and the functional requirements it must satisfy. Chapter 4 focuses on the data collection work that is the basic requirement for advanced data analysis techniques to succeed. Two main problems emerged with regards to the huge amount of data that were collected in this context: how to process the data, and how to visualize them. Chapter 5 introduces a number of data analysis and machine learning techniques that can be – and were – applied to support advanced maintenance strategies. Chapter 6 provides insights into the techniques used to visualize the data, and how the data can be manipulated and inspected. Chapter 7 describes a number of real-life pilots that were implemented based on the MANTIS platform. Chapter 8 discusses novel business models and strategies, proposes their application to modern maintenance techniques, and provides a quantitative example based on a real-life scenario. Chapter 9 concludes the book by considering open research questions that arose during the execution of the MANTIS project.

Authors:
Michele Albano
,
Erkki Jantunen
,
Gregor Papa
,
Urko Zurutuza


Book Edited: River Publishers, 620 pages.

DOI:https://doi.org/10.13052/rp-9788793609846.
WOS ID: MANTIS.

Notes: Open access book: https://www.riverpublishers.com/book_details.php?book_id=573 ISBN: 9788793609853



Record Date: 30, Oct, 2018