Pressure Sensing Line Diagnostics in Nuclear Power Plants

Lin, Kang; Holbert, Keith E.

doi:10.5772/9910

Cited by 6 publications

(6 citation statements)

References 24 publications

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“…In addition to the diagnostics of the sensor condition the PSD of the sensor output signal can be used to detect problems in the pressure sensor sensing lines. The leaks, blockages and voids in the sensing lines all affect the PSD of the pressure sensor output signal [21]. By fitting the observed PSD to an analytical model of the given type of sensor it is possible to distinguish between different sensing line problems and different types of sensor failures [21].…”

Section: Review Of Methods For Sensor Failure Detectionmentioning

confidence: 99%

“…The leaks, blockages and voids in the sensing lines all affect the PSD of the pressure sensor output signal [21]. By fitting the observed PSD to an analytical model of the given type of sensor it is possible to distinguish between different sensing line problems and different types of sensor failures [21]. Creating adequate analytical models for given sensor type however requires extensive knowledge of the internal structure of the sensor in question.…”

Section: Review Of Methods For Sensor Failure Detectionmentioning

confidence: 99%

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Method for Detecting Aging Related Failures of Process Sensors via Noise Signal Measurement

Toosi¹,

Sirola²,

Laukkanen³

et al. 2019

IJC

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In 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 redundant sensors can be used to detect indications of some of the impending sensor failures. In the experimental study we are able to produce stable fingerprints for both the non-differential and differential pressure transmitters. Also, a potential failure in one of the differential pressure transmitters in Olkiluoto unit 2 is detected by inspecting the fingerprints and analyzing the spectral changes of the transmitter output signal.

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Section: Review Of Methods For Sensor Failure Detectionmentioning

confidence: 99%

Section: Review Of Methods For Sensor Failure Detectionmentioning

confidence: 99%

Method for Detecting Aging Related Failures of Process Sensors via Noise Signal Measurement

Toosi¹,

Sirola²,

Laukkanen³

et al. 2019

IJC

View full text Add to dashboard Cite

show abstract

“…As an example, consider the authors' health diagnostics of pressure sensing lines in nuclear power plants [37,38]. For such instrument line diagnostics, the power spectral density of the pressure fluctuations (noise) is determined and compared to transfer function based models of normal and anomalous conditions such as line blockage, gas entrapment, and leakage [39]. In the end, however, all of these results must be combined via a higher-level decision-making module-this is the role of the FLDM.…”

Section: Diagnostic Monitoringmentioning

confidence: 99%

Nuclear Power Plant Instrumentation Fault Detection Using Fuzzy Logic

Holbert

Lin

2012

Science and Technology of Nuclear Installations

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Economic constraints are driving the electric power industry to seek improved methods for monitoring, control, and diagnostics. To increase plant availability, various techniques have been implemented in industry to assess equipment condition to prevent system inoperability. The availability of a large number of measured signals and additional component information and the increasing number of signal processing options to analyze sampled data motivate the assimilation of such diverse information into a plantwide condition monitor. The use of fuzzy logic is described herein for the purpose of performing the decision making regarding the system status and the possible need for component maintenance. Fuzzy-logic-based diagnostic monitoring is applied to data acquired from instrumentation within operating facilities.

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“…For example, fig. 1 shows a typical pressure sensing (pulse) line inside a nuclear reactor containment (Lin K. & Holbert K., 2010). Instrument lines can encounter a number of problems that can influence the accuracy, response time of a pressure sensing system and decrease safety of NPP in consequence of mechanical resonances which appear on frequencies up 200 Hz , for example, fig.…”

Section: Introductionmentioning

confidence: 99%

“…Instrument lines can encounter a number of problems that can influence the accuracy, response time of a pressure sensing system and decrease safety of NPP in consequence of mechanical resonances which appear on frequencies up 200 Hz , for example, fig. 2 shows transfer functions of a pressure sensing system (Lin K. & Holbert K., 2010). Exception pulse lines from join of pressure sensors to technological equipment and pipelines in NPP is provided by Technical Regulations of the Russia (TR, 2000).…”

Section: Introductionmentioning

confidence: 99%

Radiation-Hard and Intelligent Optical Fiber Sensors for Nuclear Power Plants

Buymistriuc¹

2011

Nuclear Power - Control, Reliability and Human Factors

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Pressure Sensing Line Diagnostics in Nuclear Power Plants

Cited by 6 publications

References 24 publications

Method for Detecting Aging Related Failures of Process Sensors via Noise Signal Measurement

Method for Detecting Aging Related Failures of Process Sensors via Noise Signal Measurement

Nuclear Power Plant Instrumentation Fault Detection Using Fuzzy Logic

Radiation-Hard and Intelligent Optical Fiber Sensors for Nuclear Power Plants

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