A Data-driven Method for Monitoring Systems that Operate Repetitively-Applications to Robust Wear Monitoring in an Industrial Robot Joint 1

@inproceedings{Bittencourt2012ADM,
  title={A Data-driven Method for Monitoring Systems that Operate Repetitively-Applications to Robust Wear Monitoring in an Industrial Robot Joint 1},
  author={Andr{\'e} Carvalho Bittencourt and Kari Ilmari Saarinen and Shiva Sander-Tavallaey},
  year={2012}
}
This paper presents a method for condition monitoring of systems that operate in a repetitive manner. A data-driven method is proposed that considers changes in the distribution of data samples obtained from multiple executions of one or several tasks. This is made possible with the use of kernel density estimators and the Hellinger metric between distributions. To increase robustness to unknown disturbances and sensitivity to faults, the use of a weighting function is suggested which can… CONTINUE READING

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