[[abstract]]Two topics are discussed: a method to evaluate and construct a sensor failure detection network and use of the network for signal validation of a complex system such as a nuclear power plant. The network is arranged in a tree structure and consists of plantwide sensor measurements and component models. Sensors are categorized into four classes via a logic state analysis to determine the effectiveness of the tree layouts and to reveal deficiencies in the sensor arrangements. Network building is automatic via a rule-based algorithm. Besides analytical redundancy and parity relations, plantwide consistency checks are implemented in the validation scheme to detect possible common-mode failures and modeling or process faults. Data ar...
Abstract: The model-based approach to fault detection and isolation in automated process has receive...
This research mainly deals with fault diagnosis in nuclear power plants (NPP), based on a framework ...
This tutorial investigates the problem of the occurrence of multiple faults in the sensors used to m...
In part I of this series of papers, a framework for finding a reliable sensor network from a fault d...
Sensor data fusion and interpretation, sensor failure detection, isolation and identification are ex...
Sensor data fusion and interpretation, sensor failure detection, isolation and identification are ex...
A method for on-line, nonperturbative detection and identification of sensor failures in nuclear pow...
Sensor data fusion and interpretation, sensor failure detection, isolation and identification are ex...
In this paper, the application of neural network in detecting sensor failures is presented. The stud...
Fault diagnosis depends critically on the selection of sensors monitoring crucial process variables....
Fault detection and diagnosis have always been an important aspect of nuclear power plant system des...
Sensor faults in nuclear power plant instrumentation have the potential to spread negative effects f...
The paper discusses the technology of designing a monitoring system for power transformers and power...
Automated FDD systems depend entirely on reliability of sensor readings, since they are the monitori...
Industrial systems enable modern life. They benefit tremendously by adapting digi-tal com...
Abstract: The model-based approach to fault detection and isolation in automated process has receive...
This research mainly deals with fault diagnosis in nuclear power plants (NPP), based on a framework ...
This tutorial investigates the problem of the occurrence of multiple faults in the sensors used to m...
In part I of this series of papers, a framework for finding a reliable sensor network from a fault d...
Sensor data fusion and interpretation, sensor failure detection, isolation and identification are ex...
Sensor data fusion and interpretation, sensor failure detection, isolation and identification are ex...
A method for on-line, nonperturbative detection and identification of sensor failures in nuclear pow...
Sensor data fusion and interpretation, sensor failure detection, isolation and identification are ex...
In this paper, the application of neural network in detecting sensor failures is presented. The stud...
Fault diagnosis depends critically on the selection of sensors monitoring crucial process variables....
Fault detection and diagnosis have always been an important aspect of nuclear power plant system des...
Sensor faults in nuclear power plant instrumentation have the potential to spread negative effects f...
The paper discusses the technology of designing a monitoring system for power transformers and power...
Automated FDD systems depend entirely on reliability of sensor readings, since they are the monitori...
Industrial systems enable modern life. They benefit tremendously by adapting digi-tal com...
Abstract: The model-based approach to fault detection and isolation in automated process has receive...
This research mainly deals with fault diagnosis in nuclear power plants (NPP), based on a framework ...
This tutorial investigates the problem of the occurrence of multiple faults in the sensors used to m...