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RSS FeedsEnergies, Vol. 12, Pages 3221: Condition Monitor System for Rotation Machine by CNN with Recurrence Plot (Energies)


21 august 2019 18:03:19

Energies, Vol. 12, Pages 3221: Condition Monitor System for Rotation Machine by CNN with Recurrence Plot (Energies)

Induction motors face various stresses under operating conditions leading to some failure modes. Hence, health monitoring for motors becomes essential. In this paper, we introduce an effective framework for fault diagnosis of 3-phase induction motors. The proposed framework mainly consists of two parts. The first part explains the preprocessing method, in which the time-series data signals are converted into two-dimensional (2D) images. The preprocessing method generates recurrence plots (RP), which represent the transformation of time-series data such as 3-phase current signals into 2D texture images. The second part of the paper explains how the proposed convolutional neural network (CNN) extracts the robust features to diagnose the induction motor’s fault conditions by classifying the images. The generated RP images are considered as input for the proposed CNN in the texture image recognition task. The proposed framework is tested on the dataset collected from different 3-phase induction motors working with different failure modes. The experimental results of the proposed framework show its competitive performance over traditional methodologies and other machine learning methods. Digg Facebook Google StumbleUpon Twitter
44 viewsCategory: Biophysics, Biotechnology, Physics
Energies, Vol. 12, Pages 3220: A Review of the Hydraulic Transient and Dynamic Behavior of Hydropower Plants with Sloping Ceiling Tailrace Tunnels (Energies)
Energies, Vol. 12, Pages 3222: The Use of Acidic Hydrolysates after Furfural Production from Sugar Waste Biomass as a Fermentation Medium in the Biotechnological Production of Hydrogen (Energies)
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