Machinery condition monitoring in the era of industry 4.0: A relative degree of contribution feature selection and deep residual network combined approach

•A deep residual network-based machinery condition monitoring algorithm.•A new scalable feature selection strategy based on relative contribution.•A matrix coding method for efficient feature extraction.•Deep learning for classifying machinery failures using public datasets.