Figure 1 – Different SKF bearings
The main task was to perform impulse detection, its properties, its periodicity in the acceleration signal and separate the sources of different impulses. The main challenges were the noise level, sensor placement, different transfer functions, unknown machine condition (meta-data), insufficient labelled data.
Figure 2 – Impulse response of the bearing system
Several approaches have been tested: STFT+, wavelet packets + Shannon entropy, random forest, support vector machine, Bayesian inference with a hidden Markov Layer.
The algorithms developed within this project were transferred to the customer. The customer integrated the algorithm into an embedded sensor solution. Nobleo was actively involved in a follow-up project to industrialize the embedded sensor solution.
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