WaveNet based autoencoder model: Vibration analysis on centrifugal pump for degradation estimation

Abstract

Centrifugal pumps are essential equipment in a wide range of industries. Pump maintenance costs make up a considerable amount of their operational life cycle costs. Therefore, estimating pumps health condition is rather critical. Traditional vibration analysis usually done by extracting features through frequency domain and the vibration analysis require critical domain knowledge. This paper presents a novel perspective of utilizing vibrational signal by combining autoencoder and Wavenet, providing a set of embeddings that contain essential characteristics for these high-frequency vibration signal and degradation status without significant insight into the domain.