English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

According to the time-varying and nonlinear characteristics of rod-less pumping system with water as power, a fault identification method was put forward based on BP neural network. By studying fault mechanism and vibration signal characteristics on pumping unit, the time and frequency domain feature parameters which were used as the input of neural network were extracted. Then, according to the specific characteristics of the fault identification of pumping unit, the fault identification system was constructed. Finally, it uses the experimental data obtained by fault simulation experiment platform to construct the training samples, and train neural network based on MATLAB. The results show that BP neural network can identify the fault types of the pumping unit, which has a relatively high accuracy and feasibility.

Fault Identification of Rod-less Pumping with Water as Power Based on BP Neural Network