Detection and Estimation of Multiple Fault Profiles Using Generalized Likelihood Ratio Tests: A Case Study

Abstract

Aircraft and spacecraft electrical power distribution systems are critical to overall system operation, but these systems may experience faults. Early fault detection makes it easier for system operators to respond and avoid catastrophic failures. This paper discusses a fault detection scheme based on a tunable generalized likelihood algorithm. We discuss the detector algorithm, and then demonstrate its performance on test data generated from a spacecraft power distribution testbed at NASA Ames. Our results show high detection accuracy and low false alarm rates.

Fault Isolation for Spacecraft Systems: An Application to a Power Distribution Testbed

“…In this work we focus on the design of the fault isolator and fault identification components, and we will group their functionality into one unit and refer to them simply as the isolator. The design of the fault detector is discussed in previous work [Carl et al, 2012]. The isolator is designed to accomplish the following tasks:…”

“…We formulate the detection problem for three different fault profiles. The detector needs to estimate a variety of parameters for each fault type, and the detection problem for each fault is defined by the fault profile and the set of parameters associated with the profile [Carl et al, 2012, Tantawy, 2011. The isolation problem is to identify the fault type and the faulty system component.…”

GLSDC Based Parameter Estimation Algorithm for a PMSM Model

“…In addition to the model approximations, the parameter estimation is also required to determine the occurrence of a fault and whether a corresponding control algorithm is to be used to maintain the operation or the operation is to be ended [8,9]. Often in fault detection problems, anomalies are contingent on the parameter values or behaviors [10,11]. For instance, when monitored parameters exceed corresponding thresholds, or they display some behaviors that might be considered as problematic which may hint at some issues associated with the plant in question, which at that point some other control action might be needed.…”