1994-04-01

An On-Line Approximation Approach to Fault Monitoring, Diagnosis and Accommodation 941217

The detection, diagnosis, and accommodation of system failures or degradations is becoming increasingly more important in modern engineering problems. This paper presents a general framework for constructing automated fault diagnosis and accommodation architectures using on-line approximators and adaptation/learning schemes. In this framework, neural network models constitute an important class of on-line approximators. Changes in the system dynamics are monitored by an on-line approximation model, which is used not only for detecting but also for accommodating failures. A systematic procedure for constructing nonlinear estimation algorithms and stable learning schemes is developed and illustrated by a simulation example.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 18% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

A Comprehensive Modeling and Simulation of Gasoline Direct Injection using KIVA-4 code

2011-01-1899

View Details

TECHNICAL PAPER

Application of Adversarial Networks for 3D Structural Topology Optimization

2019-01-0829

View Details

TECHNICAL PAPER

Research on Driver Model for Adaptive Control Behavior of Vehicle Direction

2010-01-0457

View Details

X