发明申请
- 专利标题: VARIABLE-STRUCTURE DIAGNOSTICS APPROACH ACHIEVING OPTIMIZED LOW-FREQUENCY DATA SAMPLING FOR EMA MOTORING SUBSYSTEM
- 专利标题(中): 可变结构诊断方法实现优化的低频数据采样EMA电机子系统
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申请号: US11422271申请日: 2006-06-05
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公开(公告)号: US20070115023A1公开(公告)日: 2007-05-24
- 发明人: Jie Chang , Kirby Keller , Anhua Wang , Jiajia Zhang
- 申请人: Jie Chang , Kirby Keller , Anhua Wang , Jiajia Zhang
- 申请人地址: US IL Chicago
- 专利权人: THE BOEING COMPANY
- 当前专利权人: THE BOEING COMPANY
- 当前专利权人地址: US IL Chicago
- 主分类号: G01R31/34
- IPC分类号: G01R31/34
摘要:
The present invention provides a diagnostics methodology and embedded electronic system that allows optimized low-frequency data sampling for EMA motoring subsystems in an operating vehicle. Each of the EMA motoring subsystems includes: an EMA; at least one motor for driving the EMA; and power controls for operating the motor, wherein the power controls includes a DSP controller for sampling and processing data at low-frequency sampling rates. The diagnostic methodology includes a method that has the steps of: determining an operational mode of the EMA motoring subsystem; selecting a sampling rate optimized for the determined operational mode; acquiring and processing data at the selected sampling rate; and analyzing the processed data to identify and classify a fault of the EMA motoring subsystem.
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