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Electric Signature Analysis as a cheap diagnostic and prognostic tool

  • Stefano Ierace
  • Marco Garetti
  • Loredana Cristaldi
Conference paper

Abstract

In modern industrial context, given the increasing requirements in quality and efficiency, maintenance is becoming more and more important, while its strategy is changing rapidly moving towards the development of diagnostics and prognostics techniques which aims at minimizing, and theoretically eliminating, the impact of failures. However, due to the need of cost reduction, it is necessary not only to prevent failures, but also to implement the required tools in a cheap way (i.e. without affecting product/equipment cost). This paper introduces ESA (Electric Signature Analysis), a novel technique which can act as a cheap and reliable tool for diagnostics and prognostics. The effectiveness of the technique is demonstrated in a real case study, carried out for the diagnostics of a vending machine. Finally, a first attempt to integrate the ESA tool in a general maintenance architecture is also provided.

Keywords

Fault Diagnosis Induction Motor Remain Useful Life Fault Tree Analysis Induction Motor Drive 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Stefano Ierace
    • 1
  • Marco Garetti
    • 2
  • Loredana Cristaldi
    • 3
  1. 1.CELS - Research Center on Logistics and After Sales Service, Department of Industrial EngineeringUniversity of BergamoDalmineItaly
  2. 2.Department of Management, Economics and Industrial EngineeringPolitecnico di MilanoMilanoItaly
  3. 3.Department of Electric EngineeringPolitecnico di MilanoMilanoItaly

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