Elevator Brake Fault Diagnosis Based on BP Neural Algorithm
- Resource Type
- Conference
- Authors
- Zhang, Tongxing; Zhou, Zhaojun; Zhou, Changxiu; Zhang, Yan; Kumar S, Pradeep
- Source
- 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) Knowledge Engineering and Communication Systems (ICKECS), 2022 International Conference on. :1-5 Dec, 2022
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Fault diagnosis
Knowledge engineering
Industries
Communication systems
Pulleys
Force
Stroke (medical condition)
BP Neural Algorithm
Elevator Brake
Fault Diagnosis
- Language
BP neural algorithm has been applied in all walks of life in the current era. Since the birth of the elevator, the brake system has developed along with the elevator industry and played an important role in ensuring the safety of the elevator. BP neural algorithm also plays an important role in the process of elevator braking. The braking force generated by the braking system has little relation with the initial braking speed, but is positively correlated with the total mass of the elevator. The braking system based on BP neural algorithm needs to absorb more energy in a short time, so as to produce the braking force which is about to lock the pulley.