Sensor-only fault detection using pseudo transfer function identification

Motivated by passive health monitoring applications, we consider identification where only sensor measurements are available. The goal is to exploit unknown ambient disturbances and thus avoid the need for controlled actuation. To achieve this, we identify a pseudo transfer function (PTF) between se...

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Bibliographic Details
Main Authors: Brzezinski, Adam J, Kukreja, Sunil, Jun Ni, Bernstein, Dennis S
Format: Conference Proceeding
Language:English
Subjects:
Fault detection
Fault diagnosis
Monitoring
Polynomials
Q measurement
Sensor systems
Signal processing
System identification
Transfer functions
Transient response
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Summary:Motivated by passive health monitoring applications, we consider identification where only sensor measurements are available. The goal is to exploit unknown ambient disturbances and thus avoid the need for controlled actuation. To achieve this, we identify a pseudo transfer function (PTF) between sensor measurements. For the single-input case, one sensor is designated as the pseudo input to the system, while the second sensor measurements constitute the pseudo output. We show that the identified PTF is independent of the unknown initial state and unknown exogenous input. We demonstrate this method on two- and three-degree-of-freedom mass-spring-damper systems and validate the identified PTFs by comparing them with analytical results.
ISSN:0743-1619
2378-5861
DOI:10.1109/ACC.2010.5530787