A mobile robot for pressurizer inspection

The pressurizer is one of the critical components in a nuclear reactor, whose main function is to maintain the primary system pressure within specific boundaries. The pressurizer is a large vessel that is made of carbon or low-alloy steel shell, clad internally with a layer of stainless steel. It wo...

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Published inIndustrial robot Vol. 27; no. 3; pp. 217 - 223
Main Authors Sun, Rong-Lei, Wan, Xing-Jiang, Chang, Heng-Yi
Format Journal Article
LanguageEnglish
Published Bedford MCB UP Ltd 01.06.2000
Emerald Group Publishing Limited
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Abstract The pressurizer is one of the critical components in a nuclear reactor, whose main function is to maintain the primary system pressure within specific boundaries. The pressurizer is a large vessel that is made of carbon or low-alloy steel shell, clad internally with a layer of stainless steel. It works with high temperature, high humidity and high pressure. The crack defects that would probably appear in the internal surface of the vessel must be detected and recorded, as well as changes to any existing known cracks. This paper presents an implementation of a mobile robot, which can sense and transmit the image of the internal surface to a remote analysis center, where the image is processed and recorded. A neural network-based pattern classifier is employed to assist inspectors to detect the flaws that appear in the surface of the vessel. Because the real-life defects rarely exist in the pressurizer, the training of the network becomes very difficult. A new algorithm is exploited to solve the problem. General considerations about the robot design are also presented.
AbstractList The pressurizer is one of the critical components in a nuclear reactor, whose main function is to maintain the primary system pressure within specific boundaries. The pressurizer is a large vessel that is made of carbon or low-alloy steel shell, clad internally with a layer of stainless steel. It works with high temperature, high humidity and high pressure. The crack defects that would probably appear in the internal surface of the vessel must be detected and recorded, as well as changes to any existing known cracks. This paper presents an implementation of a mobile robot, which can sense and transmit the image of the internal surface to a remote analysis center, where the image is processed and recorded. A neural network-based pattern classifier is employed to assist inspectors to detect the flaws that appear in the surface of the vessel. Because the real-life defects rarely exist in the pressurizer, the training of the network becomes very difficult. A new algorithm is exploited to solve the problem. General considerations about the robot design are also presented.
The pressurizer is one of the critical components in a nuclear reactor, whose main function is to maintain the primary system pressure within specific boundaries. The pressurizer is a large vessel that is made of carbon or lowalloy steel shell, clad internally with a layer of stainless steel. It works with high temperature, high humidity and high pressure. The crack defects that would probably appear in the internal surface of the vessel must be detected and recorded, as well as changes to any existing known cracks. This paper presents an implementation of a mobile robot, which can sense and transmit the image of the internal surface to a remote analysis center, where the image is processed and recorded. A neural networkbased pattern classifier is employed to assist inspectors to detect the flaws that appear in the surface of the vessel. Because the reallife defects rarely exist in the pressurizer, the training of the network becomes very difficult. A new algorithm is exploited to solve the problem. General considerations about the robot design are also presented.
The pressurizer is one of the critical components in a nuclear reactor, whose main function is to maintain the primary system pressure within specific boundaries. The pressurizer is a large vessel that is made of carbon or low-alloy steel shell, clad internally with a layer of stainless steel. It works with high temperature, high humidity and high pressure. The crack defects that would probably appear in the internal surface of the vessel must be detected and recorded, as well as changes to any existing known cracks. This paper presents an implementation of a mobile robot, which can sense and transmit the image of the internal surface to a remote analysis center, where the image is processed and recorded. A neural network-based pattern classifier is employed to assist inspectors to detect the flaws that appear in the surface of the vessel.
A pressurizer is one of the critical components in a nuclear reactor. The crack defects that would probably appear in the internal surface of the vessel must be detected and recorded. This paper presents an implementation of a mobile robot, which can sense and transmit the image of the internal surface to a remote analysis center, where the image is processed and recorded. A neural network-based pattern classifier is employed to assist inspectors to detect the flaws that appear in the surface of the vessel. Because the real-life defects rarely exist in the pressurizer, training of the network becomes very difficult. A new algorithm is exploited to solve the problem. General considerations about robot design are also presented. (Original abstract - amended)
Author Sun, Rong-Lei
Chang, Heng-Yi
Wan, Xing-Jiang
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  surname: Chang
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A pressurizer is one of the critical components in a nuclear reactor. The crack defects that would probably appear in the internal surface of the vessel must...
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StartPage 217
SubjectTerms Cameras
Industrial engineering
Inspection
Inspections
Neural networks
Nuclear
Nuclear reactors
Pattern recognition
Robots
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Title A mobile robot for pressurizer inspection
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