Cyber Physical System based Proactive Collaborative Maintenance

  • Jantunen, Erkki (Manager)

    Project: EU project

    Project Details


    The overall concept of MANTIS is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems that allows to estimate future performance, to predict and prevent imminent failures and to schedule proactive maintenance. Maintenance is no longer a necessary evil that costs what it costs, but an important function that creates additional value in the business process as well as new business models with a stronger service orientation. Physical systems (e.g. industrial machines, vehicles, renewable energy assets) and the environment they operate in are monitored continuously by a broad and diverse range of intelligent sensors, resulting in massive amounts of data that characterise the usage history, operational condition, location, movement and other physical properties of those systems. These systems form part of a larger network of heterogeneous and collaborative systems (e.g. vehicle fleets or photovoltaic and windmill parks) connected via robust communication mechanisms able to operate in challenging environments. MANTIS consists of distributed processing chains that efficiently transform raw data into knowledge while minimising the need for bandwidth. Sophisticated distributed sensing and decision making functions are performed at different levels in a collaborative way, ranging from local nodes to locally optimise performance, bandwidth and maintenance; to cloud-based platforms that integrate information from diverse systems and execute distributed processing and analytics algorithms for global decision making. The research addressed in MANTIS will contribute to companies' assets availability, competitiveness, growth and sustainability. Use cases will be the testing ground for the innovative functionalities of the proactive maintenance service platform architecture and for its future exploitation in the industrial world. Results of MANTIS can be utilised directly in several industry areas and different fields of maintenance.
    Effective start/end date1/05/1531/07/18

    UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

    • SDG 8 - Decent Work and Economic Growth
    • SDG 9 - Industry, Innovation, and Infrastructure

    Funding category

    • EU-H2020


    • H2020
    • ECSEL-2014-1
    • Micro- and nanoelectronics
    • optoelectronics


    Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
    • Big Data Collection and Analysis for Manufacturing Organisations

      Sharma, P., Baglee, D., Campos, J. & Jantunen, E., 2017, In: Big Data and Information Analytics. 2, 2, p. 127-139

      Research output: Contribution to journalArticleScientificpeer-review

      Open Access
    • How Can SMES Adopt a New Method to Advanced Maintenance Strategies? A Case Study

      Baglee, D., Gorostegui, U., Jantunen, E., Sharma, P. & Campos, J., 2017, COMADEM 2017: Condition Monitoring and Diagnostic Engineering Management 2017. Sherrington, I., Onsy, A., Rao, R. B. K. N., Brooks, H. & Philip, J. (eds.). University of Central Lancashire, p. 155-162

      Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

      Open Access
    • Management of Maintenance on an e-Maintenance Platform

      Jantunen, E., Sharma, P., Gorostegui, U., Baglee, D. & Campos, J., 2017, p. 435-446.

      Research output: Contribution to conferenceConference articleScientificpeer-review