Fault Diagnosis of Water Lubricated Stern Bearing based on BP Neural Network

Liang Feng; Zhang Dandan; Zhang Ronghua

doi:10.16578/j.issn.1004.2539.2015.07.029

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Fault Diagnosis of Water Lubricated Stern Bearing based on BP Neural Network

更新时间：2022-10-20

- Fault Diagnosis of Water Lubricated Stern Bearing based on BP Neural Network
- Vol. 39, Issue 7, Pages: 118-121(2015)
- 作者机构：
  
  1. 唐山松下产业机器有限公司
  2. 唐山工业职业技术学院
  3. 河北联合大学
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2015.07.029
  CLC：
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[1]梁峰,张丹丹,张荣华.基于BP神经网络的水润滑艉轴承故障诊断研究[J].机械传动,2015,39(07):118-121.

Liang Feng, Zhang Dandan, Zhang Ronghua. Fault Diagnosis of Water Lubricated Stern Bearing based on BP Neural Network. [J]. 39(7):118-121(2015)
[1]梁峰,张丹丹,张荣华.基于BP神经网络的水润滑艉轴承故障诊断研究[J].机械传动,2015,39(07):118-121. DOI： 10.16578/j.issn.1004.2539.2015.07.029.

Liang Feng, Zhang Dandan, Zhang Ronghua. Fault Diagnosis of Water Lubricated Stern Bearing based on BP Neural Network. [J]. 39(7):118-121(2015) DOI： 10.16578/j.issn.1004.2539.2015.07.029.

摘要

水润滑艉轴承是一种广泛应用于船舶等水中航行器推进系统的特种轴承,由于其工作的环境具有很大的不确定性,产品很容易出现各种故障,一旦故障产生将直接影响舰艇的安全航行和经济效益。本文利用Matlab软件的相关工具箱,基于神经网络的相关理论和方法,构建了BP神经网络模型来研究水润艉轴承工作时的摩擦因数、温度、噪声、振动等特征参数与轴承状态的关系,从而实现了对水润滑艉轴承工作状态的故障诊断。从Matlab仿真结果与实际情况的比对看,建立的BP神经网络可以很好的判断水润滑艉轴承的故障状态,能够在轴承早期故障时发出预警信号,提前对将要发生故障的轴承进行维修或更换,利用该方法可以有效提高水润滑艉轴承的使用性和安全性。

Abstract

The water lubricated stern bearing is a special bearings which widely used in ships and other water vessels sail propulsion system,because of its work environment is of great uncertainty,the product is prone to various of failures,once the failure happens,it will directly affect the ship safe navigation and economic benefits. By using the theory and methods of Matlab software based on neural networks,the BP neural network model is constructed to study the work of stern bearing friction coefficient,temperature,noise,vibration and bearing condition characterized by the relationship between the parameters of the time,in order to achieve fault diagnosis for water lubricated stern bearing operating conditions. From Matlab simulation results with the actual situation,the established BP neural network can be a good judge for failed state water lubricated stern bearing,it can send an early warning signal when the bearing failure,will be issued in advance of cattle bearing failure for repair or replacement. By using this method,can effectively improve the use and safety of water lubricated stern bearing.

关键词

水润滑艉轴承故障诊断BP神经网络

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