Structural Health Monitoring of Steel Pipes under Different Boundary Conditions and Choice of Signal Processing Techniques

Ahmad, Rais; Kundu, Tribikram

doi:10.1155/2012/813281

Cited by 6 publications

(4 citation statements)

References 21 publications

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“…External factors, such as environment and operating conditions, may affect the damage sensing capability of the SHM system. Experimental studies of these effects c}, [37], and boundary conditions [38]. Ref.…”

Section: 6mentioning

confidence: 99%

Predictive simulation of guide-wave structural health monitoring

Giurgiutiu

2017

SPIE Proceedings

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Section: 6mentioning

confidence: 99%

Predictive simulation of guide-wave structural health monitoring

Giurgiutiu

2017

SPIE Proceedings

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“…Application of UGW technology to piping requires sophisticated signal processing and pattern recognition techniques, as well. R. Ahmad and T. Kundu [34] investigated the performance of various signal processing methodologies in GW applications for detection of defects in pipeline networks. They analyzed the following techniques and approaches:…”

Section: Applications Of Ultrasonic-guided Waves As An Nde Techniquementioning

confidence: 99%

Light Water Reactor Sustainability Program Potential to Extend the Range of Established Online Monitoring Technologies, Such as Guided Waves in Nuclear Power Plant Systems

Gribok

2017

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The Light Water Reactor Sustainability Program was initiated to evaluate technologies that could be used to perform online monitoring of piping and other secondary system structural components in commercial NPPs. These online monitoring systems have the potential to identify when a more detailed inspection is needed using real-time measurements, rather than at a pre-determined inspection interval.This transition to condition-based, risk-informed automated maintenance will contribute to a significant reduction of operations and maintenance costs that account for most nuclear power generation costs.This report describes the current state of research related to ultrasonic-guided wave testing and its application to defect detection in commercial nuclear power plants. The report analyzes the applicability of the guided wave technology to secondary piping systems, as well as studying the potential for expanding the range of guided wave technology to include bent piping and other piping components. The ultrasonic-guided waves can inspect long stretches of straight piping; however, more complex geometries such as elbows, welds, and tees are causing spurious reflections and coherent noise, which significantly decreases the sensitivity of the technique.The report also analyzes two approaches to suppress coherent noise in guided wave systems: (1) advanced signal processing and pattern recognition based on independent component analysis, and (2) blind source separation and a hardware-based technique using piezoelectric paint, which can be used to facilitate the propagation of mechanical stress waves through piping. It is demonstrated on simulated guided wave data that the independent component analysis is capable of separating different coherent noise components and segregating them from useful signal. The piezoelectric paint approach seems to be a viable alternative to signal processing methods; however, it requires significantly more complicated logistics and initial financial outlay.The future efforts will be concentrated on applying the independent component analysis to real-world guided wave data recorded by the guided wave monitoring system installed on the shell of the lowpressure feedwater heater 13A at Exelon Corporation's Braidwood Nuclear Generating Station. Also, the joint EPRI-INL research efforts will focus on experimental evaluation of piezoelectric paint as a technique to extend the range of guided wave technology. v SUMMARY This report describes the technical potential to extend the range of ultrasonic-guided wave testing in nuclear power plants (NPPs), which is being conducted under the U.S. Department of Energy's (DOE's) Light Water Reactor Sustainability (LWRS) Program. The LWRS Program, funded by DOE's Office of Nuclear Energy, aims to provide scientific, engineering, and technological foundations for extending the life of operating light water reactors (LWRs). This program involves several goals, one of which is ensuring the safe operation of the passive components in NPPs, such as concrete, piping, ste...

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“…R. Ahmad and T. Kundu [189], investigated the significance of various signal processing methodologies in guided wave applications for detection of defects in pipelines networks. Here the authors have talked about two different techniques such as:…”

Section: Other Signal Processing Techniques Using Guided Wavesmentioning

confidence: 99%

Framework for Structural Online Health Monitoring of Aging and Degradation of Secondary Systems due to some Aspects of Erosion

Gribok¹,

Patnaik²,

Williams³

et al. 2016

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This report describes the current state of research related to critical aspects of erosion and selected aspects of degradation of secondary components in nuclear power plants (NPPs). The report also proposes a framework for online health monitoring of aging and degradation of secondary components. The framework consists of an integrated multi-sensor modality system, which can be used to monitor different piping configurations under different degradation conditions. The report analyses the currently known degradation mechanisms and available predictive models. Based on this analysis, the structural health monitoring framework is proposed. The Light Water Reactor Sustainability Program began to evaluate technologies that could be used to perform online monitoring of piping and other secondary system structural components in commercial NPPs. These online monitoring systems have the potential to identify when a more-detailed inspection is needed using real-time measurements, rather than at a predetermined inspection interval. This transition to condition-based, risk-informed automated maintenance will contribute to a significant reduction of operations and maintenance costs that account for the majority of nuclear power generation costs. There is unanimous agreement between industry experts and academic researchers that identifying and prioritizing inspection locations in secondary piping systems (for example, in raw water piping or diesel piping) would eliminate many excessive in-service inspections. The proposed structural health monitoring framework takes aim at answering this challenge by combining long-range guided wave technologies with other monitoring techniques, which can significantly increase the inspection length and pinpoint the locations that degraded the most. More widely, the report suggests research efforts aimed at developing, validating, and deploying online corrosion monitoring techniques for complex geometries, which are pervasive in NPPs.

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Structural Health Monitoring of Steel Pipes under Different Boundary Conditions and Choice of Signal Processing Techniques

Cited by 6 publications

References 21 publications

Predictive simulation of guide-wave structural health monitoring

Predictive simulation of guide-wave structural health monitoring

Light Water Reactor Sustainability Program Potential to Extend the Range of Established Online Monitoring Technologies, Such as Guided Waves in Nuclear Power Plant Systems

Framework for Structural Online Health Monitoring of Aging and Degradation of Secondary Systems due to some Aspects of Erosion

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