For practical automated diagnostic systems to continue functioning after failure, they must not only be able to diagnose sensor failures but also be able to tolerate the absence of data from the faulty sensors. It is shown that conventional (associational) diagnostic methods will have combinatoric problems when trying to isolate faulty sensors, even if they adequately diagnose other components. Moreover, attempts to extend the operation of diagnostic capability past sensor failure will necessarily compound those difficulties. Model-based reasoning offers a structured alternative that has no special problems diagnosing faulty sensors and can operate gracefully when sensor data is missing
A well known problem in diagnosis is the difficulty of providing correct diagnostic conclusions in l...
For about a decade model-based reasoning has been propounded by a number of researchers. Maybe one o...
Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems req...
Diagnostic inference involves the detection of anomalous system behavior and the identification of i...
In the modern world, systems such as aircraft systems are becoming increasingly complex, often consi...
Automated FDD systems depend entirely on reliability of sensor readings, since they are the monitori...
An architecture for using diagnostic reasoning techniques in selective monitoring is presented. Give...
Sensor faults continue to be a major hurdle for systems health management to reach its full potentia...
In the modern world, systems are becoming increasingly complex, consisting of large numbers of compo...
Abstract: Diagnostic inference involves the detection of anomalous system behavior and the identific...
One aspect of fault tolerance in process control programs is the ability to tolerate sensor failure....
This paper explores techniques to apply model-based reasoning to equipment and systems which exhibit...
Without understanding the higher level science goal of a deployment, a networked sensing system appe...
Various sensor network measurement studies have reported instances of transient faults in sensor rea...
The correct behavior of spacecraft components is the foundation of unhindered mission operation. How...
A well known problem in diagnosis is the difficulty of providing correct diagnostic conclusions in l...
For about a decade model-based reasoning has been propounded by a number of researchers. Maybe one o...
Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems req...
Diagnostic inference involves the detection of anomalous system behavior and the identification of i...
In the modern world, systems such as aircraft systems are becoming increasingly complex, often consi...
Automated FDD systems depend entirely on reliability of sensor readings, since they are the monitori...
An architecture for using diagnostic reasoning techniques in selective monitoring is presented. Give...
Sensor faults continue to be a major hurdle for systems health management to reach its full potentia...
In the modern world, systems are becoming increasingly complex, consisting of large numbers of compo...
Abstract: Diagnostic inference involves the detection of anomalous system behavior and the identific...
One aspect of fault tolerance in process control programs is the ability to tolerate sensor failure....
This paper explores techniques to apply model-based reasoning to equipment and systems which exhibit...
Without understanding the higher level science goal of a deployment, a networked sensing system appe...
Various sensor network measurement studies have reported instances of transient faults in sensor rea...
The correct behavior of spacecraft components is the foundation of unhindered mission operation. How...
A well known problem in diagnosis is the difficulty of providing correct diagnostic conclusions in l...
For about a decade model-based reasoning has been propounded by a number of researchers. Maybe one o...
Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems req...