Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Aggregation of Electric Current Consumption Features to Extract Maintenance KPIs

Aggregation of Electric Current Consumption Features to Extract Maintenance KPIs AbstractAll electric powered machines offer the possibility of extracting information and calculating Key Performance Indicators (KPIs) from the electric current signal. Depending on the time window, sampling frequency and type of analysis, different indicators from the micro to macro level can be calculated for such aspects as maintenance, production, energy consumption etc. On the micro-level, the indicators are generally used for condition monitoring and diagnostics and are normally based on a short time window and a high sampling frequency. The macro indicators are normally based on a longer time window with a slower sampling frequency and are used as indicators for overall performance, cost or consumption. The indicators can be calculated directly from the current signal but can also be based on a combination of information from the current signal and operational data like rpm, position etc. One or several of those indicators can be used for prediction and prognostics of a machine’s future behavior. This paper uses this technique to calculate indicators for maintenance and energy optimization in electric powered machines and fleets of machines, especially machine tools. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Management Systems in Production Engineering de Gruyter

Aggregation of Electric Current Consumption Features to Extract Maintenance KPIs

Download PDF
8 pages

Loading next page...
 
/lp/de-gruyter/aggregation-of-electric-current-consumption-features-to-extract-jP0kFX4GbZ
Publisher
de Gruyter
Copyright
© 2017
eISSN
2450-5781
DOI
10.1515/mspe-2017-0027
Publisher site
See Article on Publisher Site

Abstract

AbstractAll electric powered machines offer the possibility of extracting information and calculating Key Performance Indicators (KPIs) from the electric current signal. Depending on the time window, sampling frequency and type of analysis, different indicators from the micro to macro level can be calculated for such aspects as maintenance, production, energy consumption etc. On the micro-level, the indicators are generally used for condition monitoring and diagnostics and are normally based on a short time window and a high sampling frequency. The macro indicators are normally based on a longer time window with a slower sampling frequency and are used as indicators for overall performance, cost or consumption. The indicators can be calculated directly from the current signal but can also be based on a combination of information from the current signal and operational data like rpm, position etc. One or several of those indicators can be used for prediction and prognostics of a machine’s future behavior. This paper uses this technique to calculate indicators for maintenance and energy optimization in electric powered machines and fleets of machines, especially machine tools.

Journal

Management Systems in Production Engineering – de Gruyter

Published: Sep 26, 2017

References

  • de Santiago DSP algorithm for the extraction of dynamics parameters in CNC machine tool servomechanisms from an optical incremental encoder International of Machine Tools and Manufacture vol no pp
    Pérez
  • A diagnostic approach for electromechanical actuators in aerospace systems in Aerospace Conference Big Sky MT USA pp
    Balaban
  • Datadriven neural network methodology to remaining life predictions for aircraft actuator components in Big Sky MT USA pp
    Byington
  • Green Condition based Maintenance - an integrated system approach for health assessment and energy optimization of manufacturing machines in The th on Condition Monitoring and Machinery Failure Prevention Technologies Kraków Poland pp
    Johansson
  • Vibration and current transient monitoring for gearbox fault detection using multiresolution Fourier transform of Sound and Vibration vol no pp
    Chinmaya
  • Information What Where Why When and How ? Information Fusion Information Fusion vol no pp
    Dasarathy
  • Gloor Druckluftanlagen Available : http www energie ch themen industrie infel druckluft htm
    July
  • da da Detecting Load Failures using the Induction Motor as a Transducer in th on Control Automation Robotics and Vision Hanoi Vietnam pp
    Bonaldi
  • Multiple Faults Diagnosis in Induction Motor Using the MCSA Method International of Signal and Image Processing vol no pp
    Messaoudi
  • da da Detecting Load Failures using the Induction Motor as a Transducer in th on Control Automation Robotics and Vision Hanoi Vietnam pp
    Bonaldi
  • Fault diagnosis of a machine tool rotary axis based on a motor current test and the ensemble empirical mode decomposition method of Mechanical Engineering Science vol no pp
    Zhao
  • Health monitoring and prognostics for electro mechanical actuation in of the on Recent Advances in Aerospace Actuation Systems and Components Toulouse France pp
    Curran