Elevators Fault Diagnosis Based on Artificial Intelligence

Abstract

With the rapid development of cities, elevators have gradually been integrated into people's daily life. Therefore, to reduce the occurrence of elevator failures by using the diagnosis methods of elevator failures is of significance to ensure people's lives and property. As an emerging field in the 21st century, Artificial Intelligence (AI) techniques provide an effective elevator fault diagnosis technology. This paper describes the various AI algorithms for elevator fault diagnosis from two aspects: theoretical methods and practical applications. Firstly, several mainstream AI algorithms, including the following algorithms: Back Propagation (BP) Neural Network, Radial Basis Function (RBF), K-Means and Support Vector Machine (SVM) are introduced. Then, a broad literature review of the application of these AI algorithms in elevator fault diagnosis is given. Finally, the possible development trend of AI in elevator fault diagnosis in the future is discussed.