Screw Remaining Life Prediction Based on Quantum Genetic Algorithm and Support Vector Machine
To predict the remaining life of ball screw, a screw remaining life prediction method based on quantum genetic algorithm (QGA) and support vector machine (SVM) is proposed. A screw accelerated test bench is introduced. Accelerometers are installed to monitor the performance degradation of ball screw...
Main Authors: | Xiaochen Zhang, Dongxiang Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2017-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2017/9581379 |
Similar Items
-
Rotating Machinery Fault Diagnosis for Imbalanced Data Based on Fast Clustering Algorithm and Support Vector Machine
by: Xiaochen Zhang, et al.
Published: (2017-01-01) -
Lithium-ion battery remaining useful life prediction based on grey support vector machines
by: Xiaogang Li, et al.
Published: (2015-12-01) -
Prediction of preload attenuation of ball screw based on support vector machine
by: Kai Chen, et al.
Published: (2018-09-01) -
Screw Performance Degradation Assessment Based on Quantum Genetic Algorithm and Dynamic Fuzzy Neural Network
by: Xiaochen Zhang, et al.
Published: (2015-01-01) -
Support Vector Machine Weather Prediction Technology Based on the Improved Quantum Optimization Algorithm
by: Jinlei Zhang, et al.
Published: (2021-01-01)