Intelligent Energy Profiling for Decentralized Fault Diagnosis of Automated Production Systems

Abstract

The proliferation of energy management systems leads to new potentials of data acquisition that can deliver improved machine information through intelligent linking. In addition to energy controlling, the newly gotten database creates further use cases for advanced purposes. This paper presents an exemplary application of a diagnostic scenario for industrial robots. For this objective, data fusion of energy data and operating logs is necessary to obtain detailed knowledge of the behavior of a production system. Hereby, an online measurement system will be described, which helps to uncover inefficiencies in production systems.

A modular web framework for socio-CPS-based condition monitoring

“…A system for measuring electrical and pneumatic consumptions had been previously integrated (see Fig. 4) [8]. The robot unit provides a high degree of dynamics and, due to the large number of possible states, serves as a complex object that effectively demonstrates condition monitoring scenarios.…”

“…In order to implement the system, some preparatory work was necessary [8,9]. Acquiring the nominal data was generically accomplished with each of the robot's subprocesses to ensure adaptability to other applications.…”

“…Different handling positions of the considered robot unit in a test cell for electronic assemblies[8].…”