Add to ORKGIn this article we examine the methods for detecting and predicting aging related process sensor failures by analyzing the noise of the sensor output signal. The study uses data from non-differential and differential pressure transmitters used in the pressure and water level measurements of the reactor pressure vessels of units 1 and 2 of the Olkiluoto nuclear power plant in Finland. The article contains a review of the current methods for detection of sensor failures. Additionally, we present a new method for detecting changes in the sensor output signal. The method creates fingerprints of the power spectra of the sensors by using Principal Component Analysis (PCA). The changes in these fingerprints together with the measurements of the re...
Sensor integrity plays a crucial role in automatic control and system monitoring, both in achieving ...
The overall goal of this joint research project was to develop and demonstrate advanced sensors and ...
Effective condition monitoring and prognostic analyses depend on accurate sensor data in order to es...
In this article we examine the methods for detecting and predicting aging related process sensor fai...
An improved principal component analysis (PCA) method is applied for sensor fault detection and isol...
When the components of the system begin to loose or experience other physical change, the features o...
An optimized principal component analysis (PCA) framework is proposed to implement condition monitor...
Blockages of pressure transmitter sensing line are a recurring problem in nuclear plants. The tradit...
This paper introduces an on-line diagnostic function for temperature sensors using a noise analysis ...
This paper describes the development and testing of a new algorithm to identify faulty sensors, base...
Detecting the failure of a sensor in industrial processes is important to avoid the use of incorrect...
A method for on-line, nonperturbative detection and identification of sensor failures in nuclear pow...
For a complex system such as a nuclear power plant, safe and efficient control operation requires re...
International audienceTo efficiently control a process, accurate sensor measurements must be provide...
There are many sensors in a wastewater treatment process (WWTP) plant for monitoring process perform...
Sensor integrity plays a crucial role in automatic control and system monitoring, both in achieving ...
The overall goal of this joint research project was to develop and demonstrate advanced sensors and ...
Effective condition monitoring and prognostic analyses depend on accurate sensor data in order to es...
In this article we examine the methods for detecting and predicting aging related process sensor fai...
An improved principal component analysis (PCA) method is applied for sensor fault detection and isol...
When the components of the system begin to loose or experience other physical change, the features o...
An optimized principal component analysis (PCA) framework is proposed to implement condition monitor...
Blockages of pressure transmitter sensing line are a recurring problem in nuclear plants. The tradit...
This paper introduces an on-line diagnostic function for temperature sensors using a noise analysis ...
This paper describes the development and testing of a new algorithm to identify faulty sensors, base...
Detecting the failure of a sensor in industrial processes is important to avoid the use of incorrect...
A method for on-line, nonperturbative detection and identification of sensor failures in nuclear pow...
For a complex system such as a nuclear power plant, safe and efficient control operation requires re...
International audienceTo efficiently control a process, accurate sensor measurements must be provide...
There are many sensors in a wastewater treatment process (WWTP) plant for monitoring process perform...
Sensor integrity plays a crucial role in automatic control and system monitoring, both in achieving ...
The overall goal of this joint research project was to develop and demonstrate advanced sensors and ...
Effective condition monitoring and prognostic analyses depend on accurate sensor data in order to es...