Open access peer-reviewed Edited Volume

Maintenance Management - Current Challenges, New Developments, and Future Directions

Germano Lambert-Torres

PS Solutions Co.

Fellow of the IEEE for his contributions to the applications of intelligent systems to power systems. He has more than 15 registered patents, more than 50 registered software, and more than 100 funded R&D projects for South-America companies.


Erik Bonaldi

PS Solutions

Dr. Bonaldi has more than 15 registered patents and 30 registered software. He has coordinated more than 30 R&D projects for power companies in Brazil.

Levy Ely Oliveira

PS Solutions

Dr. Levy Ely Oliveira has more than ten registered patents and 30 registered software. He has participated in more than 50 R&D projects for power companies.


Deterioration Level System Performance Corrective Maintenance Preventive Maintenance Risk-Based Maintenance Predictive Maintenance Maintenance Intervention Examples of Maintenance Processes Results of the Maintenance Processes Higher Plant Availability Failure Modes Reliability

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About the book

In an industrial scenario, improper maintenance (or its lack) has several implications that can lead to unexpected breakdowns, losses at industrial production, or catastrophic consequences. In general, a fault affects only one component; however, it spreads to other components as the fault evolves. Moreover, considering cost reduction and production efficiency, developing an effective maintenance program has gained more attention, and several tools have been implemented to support and encourage best practices. In this sense, advanced data acquisition and processing methods have been developed to allow effective machine condition monitoring and early fault detection and identification, avoiding unexpected breakdowns and even catastrophic failures, especially for critical systems. Whenever possible, condition monitoring should be done non-invasively and without interrupting machine operation.

Over the years, the concept of maintenance became more comprehensive, reducing fault occurrence and increasing industrial system availability. Besides, reliability, safety, and criticality requirements were associated with the system or equipment under analysis. Maintenance strategies or schemes can be classified as corrective (run-to-break), preventive (time-based), and predictive (condition-based maintenance). Corrective maintenance is only performed after an occurrence of a fault. Therefore, it involves unexpected breakdowns, high costs, changes in the production chain, and it could lead to catastrophic events. Preventive maintenance and interventions occur based on a scheduled maintenance plan or the equipment's mean time between failures. Although it is more effective than corrective maintenance, unexpected failure may still occur by preventing most failures. Additionally, the process cost is still high, especially the costs associated with labor, inventory, and unnecessary replacement of equipment or components.
On the other hand, predictive maintenance analyses the equipment condition so that a possible fault can still be identified at an early stage. Predictive maintenance aims to identify a machine anomaly so that it does not result in a fault. Such maintenance involves advanced monitoring, processing, and signal analysis techniques, which are generally performed non-invasively and, in many cases, in real-time. In the case of machines or processes, these techniques can be developed based on vibration, temperature, acoustic emission, or electrical current signal monitoring. It should be noted that monitoring such signals or parameters to verify the operating condition is called condition monitoring. Condition monitoring aims to observe the machine's current operational condition and predict its future condition, keeping it under a systematic analysis during its remaining life. In this sense, a fault condition can be detected and identified from systematic machine condition monitoring. A diagnosis procedure can be established, whereby properly investigating the fault symptoms and prognosis.

This book will aim to merge all these ideas in a single volume, aggregate new maintenance experiences, apply new techniques and approaches, and report field experiences to establish new maintenance processes and management paradigms.

Publishing process

Book initiated and editor appointed

Date completed: March 3rd 2022

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

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Approved chapters written in full and submitted

Deadline for full chapters: July 4th 2022

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: September 22nd 2022

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: November 21st 2022

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

Germano Lambert-Torres

PS Solutions Co.

Germano Lambert-Torres is a Professor at the Instituto Gnarus. He received his Ph.D. degree in Electrical Engineering from the Ecole Polytechnique de Montreal, Canada, in 1990. From 1983 to 2012, he was with the Electrical Engineering Department, Itajuba Federal University (UNIFEI), where he was also the Dean of the Research and Graduate Studies, from 2000 to 2004. Since 2010, he has been the Director of R&D, PS Solucoes, Itajuba. He also serves as a consultant for many utility companies in Brazil and South America and has taught numerous IEEE tutorials in the USA, Europe, and Asia. He has completed more than 90 M.Sc. and Ph.D. thesis supervisions and published more than 600 journal and technical conference papers. He is also the author/editor or coauthor of ten books, more than 50 book chapters, and 150 transactions articles on intelligent systems and nonclassical logic. Dr. Lambert-Torres is an IEEE Fellow.

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