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

A method for identifying a pseudo-steady-state operating condition of an electro-mechanical/electro-hydrostatic actuator (EMA) motoring subsystem in a system, comprising:

• assessing at least one key state variable of an EMA motoring subsystem in the system to determine if the system is in a pseudo-small signal mode;
• and
• performing a diagnostics task at an optimized low-frequency sampling rate when the system is in said pseudo-small signal mode.

A method for identifying a pseudo-steady-state operating condition of an electro-mechanical/electro-hydrostatic actuator (EMA) motoring subsystem in a system, comprising:

• identifying a pseudo-steady-state operating condition of the EMA motoring subsystem based on a selected mission phase combined with at least one assessed key state variable;
• and
• selecting an optimal low-frequency sampling rate of data from the EMA motoring subsystem based on said identified pseudo-steady-state operating condition.