Providing Proactiveness: Data Analysis Techniques Portfolios

Sillitti, A., Schomaker, L., Anakabe, J. F., Basurko, J., Dam, P., Ferreira, H., Ferreiro, S., Gijsbers, J., He, S., Hegedus, C., Holenderski, M., Hooghoudt, J-O., Lecuona, I., Leturiondo, U., Marcelis, Q., Moldovan, I., Okafor, E., Rebelo de Sa, C., Romero, R., Sarr, B., Schomaker, L., Kumar Shekar, A., Soares, C., Sprong, H., Theodorsen, S., Tourwe, T., Urchegui, G., Webers, G., Yang, Y., Zubaliy, A., Zugasti, E. & Zurutuza, U., Jan-2019, The MANTIS Book : Cyber Physical System Based Proactive Collaborative Maintenance. Albano, M., Jantunen, E., Papa, G. & Zurutuza, U. (eds.). Gistrup (DK): River Publishers, p. 145-238 94 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

  • Alberto Sillitti
  • Lambertus Schomaker
  • Javier Fernandez Anakabe
  • Jon Basurko
  • Paulien Dam
  • Hugo Ferreira
  • Susanna Ferreiro
  • Jeroen Gijsbers
  • Sheng He
  • Csaba Hegedus
  • Mike Holenderski
  • Jan-Otto Hooghoudt
  • Inigo Lecuona
  • Urko Leturiondo
  • Quinten Marcelis
  • Istvan Moldovan
  • Emmanuel Okafor
  • Claudio Rebelo de Sa
  • Ricardo Romero
  • Babacar Sarr
  • Lambertus Schomaker
  • Arvind Kumar Shekar
  • Carlos Soares
  • Hans Sprong
  • Soren Theodorsen
  • Tom Tourwe
  • Gorka Urchegui
  • Godfried Webers
  • Yi Yang
  • Andriy Zubaliy
  • Ekhi Zugasti
  • Urko Zurutuza
Proactive and collaborative decision support is an integral part of a
proactive maintenance strategy. Condition monitoring is only one part of the
equation, since the actual assets’ condition needs to be combined with other
relevant information, such as customer needs, ambient conditions, business
models and service contracts in order for a service team to make the right
decision and take the appropriate actions. The goal of the MANTIS project is to provide
the service team with an intuitive, proactive and context-aware system for
industrial maintenance that supports maintenance by proactively pushing relevant
information to the right people at the right time, by intelligently filtering
and summarizing information to prevent information overload through context
awareness, by automatically and dynamically scheduling and adapting
maintenance plans, thereby keeping the human in the loop at all times. The
chapter is organized as follows:

• Section 5.2 focuses on root cause analysis providing a short introduction
to the theoretical background and a catalogue of techniques that have
been demonstrated to be useful in this kind of analysis. Such techniques
are mainly based on statistical and machine learning approaches.
Moreover, a set of real-world applications are shortly introduced;

• Section 5.3 deals with the identification of the remaining useful life
of components. The section provides a short theoretical background, a
catalogue of the useful approaches, and an analysis of some use cases
to demonstrate the applicability of the described techniques analysing
different modelling approaches;

• Section 5.4 investigates how to alert and predict failures. The section
provides an extensive catalogue of useful techniques. The presented
techniques are also mainly based on statistical and machine learning

• Section 5.5 provides some real examples that come from different application
domains where most of the techniques previously presented have
been applied with valuable results.
Original languageEnglish
Title of host publicationThe MANTIS Book
Subtitle of host publicationCyber Physical System Based Proactive Collaborative Maintenance
EditorsMichele Albano, Erkki Jantunen, Gregor Papa, Urko Zurutuza
Place of PublicationGistrup (DK)
PublisherRiver Publishers
Number of pages94
ISBN (Electronic)9788793609846
ISBN (Print)9788793609853
Publication statusPublished - Jan-2019

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