About
Contact & Profiles
A5064970684
Research Areas
- Water Quality Monitoring Technologies
- Fault Detection and Control Systems
- Engineering and Technology Innovations
- Water Quality Monitoring and Analysis
- Analytical Chemistry and Sensors
- Electrochemical sensors and biosensors
- Air Quality Monitoring and Forecasting
- Machine Fault Diagnosis Techniques
- Innovations in Aquaponics and Hydroponics Systems
- Hydrological Forecasting Using AI
- Engineering Diagnostics and Reliability
China Agricultural University
2019-2022
Ministry of Agriculture and Rural Affairs
2019
10.1007/s11356-022-18914-8
article
EN
Environmental Science and Pollution Research
2022-02-01
Abstract Motor is widely used in industrial production, but the frequent motor bearing fault brings great safety hazard to production. Traditional diagnosis methods often require prior signal processing knowledge and are inefficient. In order solve this problem, artificial intelligence method has been applied diagnosis. With help of original running state collected by sensors, non-invasive real-time detection can be realized. This paper presents an improved CNN-LSTM network based on...
10.21203/rs.3.rs-201800/v1
preprint
EN
cc-by
Research Square (Research Square)
2021-04-22
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