A Rapid Response Neural Network for Gear Box Diagnosis

doi:10.16578/j.issn.1004.2539.1995.04.005

您当前的位置：

首页 >

文章列表页 >

A Rapid Response Neural Network for Gear Box Diagnosis

更新时间：2025-04-03

- A Rapid Response Neural Network for Gear Box Diagnosis
- Issue 4, (1995)
- 作者机构：
  
  西安交通大学
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.1995.04.005
  CLC： TH132.46
- Published：1995
- 稿件说明：
移动端阅览
[1]孟建,蔡扬林,屈梁生.变速齿轮箱诊断快速响应神经网络系统[J].机械传动,1995(04):13-15+55.

A Rapid Response Neural Network for Gear Box Diagnosis[J]. 1995, (4).
[1]孟建,蔡扬林,屈梁生.变速齿轮箱诊断快速响应神经网络系统[J].机械传动,1995(04):13-15+55. DOI： 10.16578/j.issn.1004.2539.1995.04.005.

A Rapid Response Neural Network for Gear Box Diagnosis[J]. 1995, (4). DOI： 10.16578/j.issn.1004.2539.1995.04.005.

摘要

本文讨论了一个变速齿轮箱诊断的快速响应神经网络系统，分析了它的构成和基本功能，并用实例对其进行了验证，说明了它的有效性和实用性。

Abstract

In this paper

an intelligent diagnostic system for gear box is developed

which is called

rapid response neural network. Its construction and fundamental function are discussed and a example is used to verify its effectiveness and practicability.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Adaptive diagnosis method based on gearbox unbalanced fault data

Rolling bearing fault diagnosis based on parameter optimized VMD and improved GoogLeNet

A Review of Research on Fault Diagnosis of Gear Transmission Devices Based on Acoustic Signals

Fault Diagnosis and Cause Analysis of Planetary Gear Trains in Gearboxes

Modulation Signal Bispectrum Slice Overall Average Feature Extraction of Low-speed Reciprocating Bearing Faults

Related Author

TIAN Juan

XIE Gang

ZHANG Shun

WANG Yufei

LI Haoran

LIU Deping

Zhang Linhang

Wu Luji

Related Institution

School of Electronic Information Engineering, Taiyuan University of Science and Technology

Shanxi Key Laboratory of Advanced Control and Industrial Intelligence, Taiyuan University of Science and Technology

School of Mechanical and Power Engineering, Zhengzhou University

China Academy of Machinery Zhengzhou Research Institute of Mechanical Engineering Co., Ltd.

China Academy of Machinery Science & Technology Qingdao Branch Co., Ltd.

⁰