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Operating data based diagnosis of rotating machinery for sustainable, reliable and highly efficient operations (DIAdEM)

For the evaluation of rotating machines (pumps, fans, compressors) during operation, algorithms will be developed which can make statements about the current and future status of the aggregates based on existing sensor technology. This allows a simple evaluation of energy efficiency and machine abrasion, and the operator can guarantee sustainable operation through appropriate system adjustments. Compared to the state of the art, the methods should be able to infer the status of the electric motor, working machine and system simply from the electrical parameters of the motor (current and voltage). For the first time, algorithms are developed based on transient current signature analyses, which are model-based, predictive and learning.

Details

Funding

Federal Ministry of Education and Research BMBF

Duration

01.10.2018 - 30.09.2022