Analytical redundancy and the design of robust failure detection systems

@article{Chow1984AnalyticalRA,
  title={Analytical redundancy and the design of robust failure detection systems},
  author={Edward Yik Chow and Alan S. Willsky},
  journal={IEEE Transactions on Automatic Control},
  year={1984},
  volume={29},
  pages={603-614}
}
  • E. Chow, A. Willsky
  • Published 1 July 1984
  • Business
  • IEEE Transactions on Automatic Control
The failure detection and identification (FDI) process is viewed as consisting of two stages: residual generation and decision making. It is argued that a robust FDI system can be achieved by designing a robust residual generation process. Analytical redundancy, the basis for residual generation, is characterized in terms of a parity space. Using the concept of parity relations, residuals can be generated in a number of ways and the design of a robust residual generation process can be… 

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References

SHOWING 1-10 OF 31 REFERENCES

A fault detection and isolation methodology

  • M. DesaiA. Ray
  • Engineering
    1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes
  • 1981
A fault detection and isolation methodology has been developed for validation of sensors and plant components. Significantly, the isolation of most consistent and inconsistent subsets of measurements

F-8 DFBW sensor failure identification using analytic redundancy

TLDR
The structure of a sensor failure detection and identification system designed for the NASA F-8 DFBW aircraft is outlined, and preliminary simulation results indicate good behavior of the analytic decision statistic, based on the sequential probability ratio test.

Dual-Sensor Failure Identification Using Analytic Redundancy

In this paper we present a reliable technique for failure detection and identification for dual flight control sensors aboard the F-8 digital fly-by-wire aircraft, and we discuss the successful

Instrument fault detection in systems with uncertainties

We demonstrate how to detect instrument faults in non-linear time-varying processes that include uncertainties such as modelling error, parameter ambiguity, and input and output noise. The design of

Model degradation effects on sensor failure detection

This paper discusses the effects of imperfect modeling on the detection and isolation of sensor failures. For systems with non-zero set points, deterministic inputs or non-zero noise biases, the

Generalized Likelihood Test for FDI in Redundant Sensor Configurations

The Generalized Likelihood Test (GLT) approach to failure detection and isolation (FDI) in redundant sets of inertial sensors is described and its relationship to the overall FDI structure is

A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems

We consider a class of stochastic linear systems that are subject to jumps of unknown magnitudes in the state variables occurring at unknown times. This model can be used when considering such

A Decision - Directed Adaptive Tracker

In the design of a tracking filter for air traffic control (ATC) applications, a maneuvering aircraft can be modelled by a linear system with random noise accelerations. A Kalman filter tracker,

A Redundant Strapdown Inertial Reference Unit (SIRU)

The hardware and software mechanization of the SIRU redundant strapdown system is described. Six gyroscope and six accelerometer modules are arranged with their input axes in a unique symmetrical