课题基金 / 基金详情

A new technology for motor rotor bar fault detection under no load conditions

A new technology for motor rotor bar fault detection under no load conditions
电机转子线棒空载故障检测新技术
批准号:
516273-2017
负责人:
Wang, WilsonQuansheng
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

项目摘要

项目成果

Wang, WilsonQuansheng的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Electric motors are commonly used in various domestic and industrial applications. The problem raised byMahon Electric Co Ltd. (in Thunder Bay, Ontario) is how to detect a broken rotor bar fault under low or noload conditions, which is also an ongoing problem in the industry, and a challenging task in this research field.A lower load corresponds to a smaller slip, which makes it more difficult to detect rotor fault. To tackle thischallenge, the objective of this project, in collaboration with Mahon Electric, is to develop a new slip spectral(SS) technique for broken rotor bar fault detection, under low or no loading. The proposed SS techniqueapplies both electric current and vibration signals for fault detection. Specifically, 1) a smart sensor will bedeveloped for more accurate rotor speed recognition and slip estimation; 2) Adaptive denoising filteringtechnique will be proposed to improve signal-to-noise ratio of the complex signal path from the faulty rotor barto the current sensors; 3) A new approach will be suggested to demodulate average spectral characteristics overthe bands with impulses for rotor bar fault detection under no load conditions. This project will be undertakenwith close collaboration with Mahon Electric. The related research and testing will be performed in thecompany. The rich hands on experience the company's staff will be very helpful to make productive results ofthis project. The proposed SS technology can also be used for general online motor health conditionmonitoring to recognize the motor defect at its earliest stage so as to prevent machinery performancedegradation, malfunction, or even devastating failures. The SS technology can benefit a wide array of Canadiancompanies to gain a competitive advantage in the related market by improving production quality and systemreliability, and reducing costs.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Remote health condition monitoring of water pump systems
  • 批准号:
    537683-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $3.64万
  • 财政年份:
    2021
  • 负责人:
    Wang, WilsonQuansheng
  • 依托单位:
Development of A New Helicopter Aerial Refueling System
  • 批准号:
    558393-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $5.39万
  • 财政年份:
    2021
  • 负责人:
    Wang, WilsonQuansheng
  • 依托单位:
Development of A New Helicopter Aerial Refueling System
  • 批准号:
    558393-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $3.5万
  • 财政年份:
    2020
  • 负责人:
    Wang, WilsonQuansheng
  • 依托单位:
Remote health condition monitoring of water pump systems
  • 批准号:
    537683-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $3.64万
  • 财政年份:
    2020
  • 负责人:
    Wang, WilsonQuansheng
  • 依托单位:
国内基金
海外基金
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
  • 依托单位:
PET/MR多模态分子影像在阿尔茨海默病炎症机制中的研究
  • 批准号:
    82372073
  • 项目类别:
    面上项目
  • 资助金额:
    48.00万元
  • 批准年份:
    2023
  • 负责人:
    张淼
  • 依托单位:
Capture and Release of Droplets Using Advanced Materials for High Technology Applications
  • 批准号:
    52073127
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2020
  • 负责人:
    Alidad Amirfazli
  • 依托单位:
Journal of Computer Science and Technology
  • 批准号:
    61224001
  • 项目类别:
    专项基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2012
  • 负责人:
    万晓霰
  • 依托单位: