Data Acquisition System Based on Hybrid Filtering Algorithm
Wanzhe Tang, Danhong Zhang, Yinghui Sun, Tingliang Guan, Gang Li, Zhao Xiang · 2020
The gearbox performance test generates a large amount of data, and how to collect these data accurately is directly related to the final performance evaluation of the gearbox. In the production of actual industrial, complex environmental factors will lead to negligence errors in the acquisition of these data, which will affect the evaluation results. To solve the problem, this paper analyzes a variety of negligence error processing methods, and proposes a hybrid filtering algorithm based on distribution graph method and limiting filtering method. The hybrid filtering algorithm uses the distribution graph method to conduct the first filtering, and then uses the limiting filtering method to complete the second filtering, and finally the program can obtain data without negligence error. Based on the hybrid filtering algorithm and Labview software development platform, this paper designs a data acquisition system dedicated to gearbox performance testing. The system can effectively suppress the occurrence of negligence errors and achieve the requirements for the reliability of test data.