Variable-structure diagnostics approach achieving optimized low-frequency data sampling for EMA motoring subsystem

US7081729B2 · kind B2 · utility

Assignee

• The Boeing Company · US

Inventors

• Jie Chang · Newbury Park, US
• Kirby J. Keller · Chesterfield, US
• Anhua Wang · Thousand Oaks, US
• Jiajia Zhang · Xi'an, CN

Key dates

• Filing date: Mar 23, 2004
• Grant date: Jul 25, 2006
• Expiry date: Sep 4, 2024

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y10S706/913
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

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.