Objectives of Deliverable 1.1

This task will set the basis of the UPTIME project by analysing, on the basis of a structured methodology, a several number of solutions to perform Predictive Maintenance (PM), ranging from reactive maintenance to proactive maintenance, as well as currently available on both commercial and research level platforms implementing PM functionalities.

In particular this deliverable provides information regarding state of play in predictive maintenance covering a broad spectrum of platforms that involve several kind of PM models and techniques. D1.1 will be used as input by several tasks in WP1 and WP2. In particular Task 1.3 and Task 1.4 will examine

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Objectives of Deliverable 1.1

Predictive Maintenance – KPIs Analysis

The state of play presented in the following paragraphs identify the following key performance indicator (KPI) as relevant criteria for the evaluation of the existing Predictive Maintenance Platform. The same KPIs are taken into account also in the requirements and validation phases of the UPTIME maintenance platform becoming input for the WP2 activities.

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Predictive Maintenance – KPIs Analysis

Technology Intelligence Methodology

Assessment and Definition of Technical Concepts
The Technology Intelligence service is part of RINA Consulting’s structured methodology for the identification of patterns of development (technology development rate) and competitors’ analysis (level of activity and capability to achieve results). It contributes to the definition of the technical concepts and technological maturity assessment through Desktop Search, Analysis of previous FP7 and H2020 projects (from 2012 onwards) and with a massive Patents Analysis. The methodological backbone of this service is based on the System Evolution Theory formulated by G. Altshuller, a Russian engineer, scientist and patent expert. Altshuller formulated an extensive theory about the

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Technology Intelligence Methodology