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Vol. 158, Issue 11, November 2013, pp. 374-378

 

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Cluster Research on Modular Petroleum Equipment Based on Neural Network
 
1, 2 Jun CHEN, 1 Gang GUO, 2 Yonggang ZUO, 3 Jing YANG

1 College of Mechanical Engineering, Chongqing University, Chongqing 400030, China

2 Department of Petroleum Supply Engineering, Logistic Engineering University, Chongqing 401311, China

3 Department of mechanical and electrical Engineering, Logistic Engineering University, Chongqing 401311, China

1Tel.: 13983455823, fax: 023-86731148
E-mail: chenjun657@163.com, zyg938@163.com

 

Received: 10 September 2013   /Accepted: 25 October 2013   /Published: 30 November 2013

Digital Sensors and Sensor Sysstems

 

Abstract: The diverse functional surface of petroleum equipment can be derived from the combination and matching of different modules so as to enhance the flexibility of the system. Each unit in petroleum equipment system is essentially a functional module, but each single assembly or subsystem is unable to meet the group wartime oil needs, the generation and expansion ability of the petroleum supply system can be realized through task clustering and function grouping with the module. The clustering and planning method of petroleum equipment modular application and task driven by function interface of petroleum equipment system module based on neural network is studied.

 

Keywords: Petroleum equipment, Clustering, Neural network.

 

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