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Self-calibration and predictive maintenance

Date of last update: 2007/06/01

Description:

It consists of 3 software modules:
Software module for Data Mining: it collects data from sensors, filters them, and extracts some indexes indicating the state of “health” of the mechanical parts;

Software module for Decision support: it has to decide if the machine needs to be tuned, or any mechanical part should be substituted;

Software module for Tuning: it performs an optimization of machine performances through the modification of dynamical values.

Current status:

Developments performed: Data Mining module able to perform the following tests:

Velocity step response
Linear interpolation between couples of axes
Circular interpolation between couples of axes
Current – velocity – torsion

This module collects data from sensors through the NC software, but is not integrated in it. This allows to develop additional complex off-line elaborations of these data and to store them into external dataBases. Results of the tests can be used for predictive maintenance, but also for automatic tuning of position loop gain, acceleration and path error.

Company:
Fidia

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Self-calibration and predictive maintenance

	This is a research project supported by the European Commission under the Sixth Framework Programme.
	The author is solely responsible for this website. It does not represent the opinion of the European Commission. The European Comission is not responsible for any use that might be made of the data appearing therein.