The quality of maintenance is an important parameter in the performance of industrial production plants. Good monitoring of the deterioration in rotating machinery can result in reduced maintenance costs by minimizing the number of bad judgments and decreasing in the number of spare parts. An effective system of maintenance should be able to monitor parameters such as vibration, temperature, oi...

During drilling into the soil, rotating mechanical structure will be affected by soil particles and external disturbances, affecting health of structure. Therefore, real-time monitoring operational status structures is great significance. This paper proposes a working state recognition method based on Mel-spectrum transfer learning, which uses vibration signal’s time domain frequency informatio...

In modern production, the precision and importance of rotating machinery is higher in direction large-scale, high speed automation development, so that traditional fault diagnosis methods are insufficient to deal with massive, multi-source high-dimensional data, cannot meet requirements security reliability. Therefore, several typical deep learning models briefly introduced at first application...