Estimation of Probability Density Functions of Damage Parameter for Valve Leakage Detection in Reciprocating Pump Used in Nuclear Power Plants
This paper presents an advanced estimation method for obtaining the probability density functions of a damage parameter for valve leakage detection in a reciprocating pump. The estimation method is based on a comparison of model data which are simulated by using a mathematical model, and experimenta...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2016-10-01
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| Series: | Nuclear Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573316300523 |
| _version_ | 1819086088453488640 |
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| author | Jong Kyeom Lee Tae Yun Kim Hyun Su Kim Jang-Bom Chai Jin Woo Lee |
| author_facet | Jong Kyeom Lee Tae Yun Kim Hyun Su Kim Jang-Bom Chai Jin Woo Lee |
| author_sort | Jong Kyeom Lee |
| collection | DOAJ |
| description | This paper presents an advanced estimation method for obtaining the probability density functions of a damage parameter for valve leakage detection in a reciprocating pump. The estimation method is based on a comparison of model data which are simulated by using a mathematical model, and experimental data which are measured on the inside and outside of the reciprocating pump in operation. The mathematical model, which is simplified and extended on the basis of previous models, describes not only the normal state of the pump, but also its abnormal state caused by valve leakage. The pressure in the cylinder is expressed as a function of the crankshaft angle, and an additional volume flow rate due to the valve leakage is quantified by a damage parameter in the mathematical model. The change in the cylinder pressure profiles due to the suction valve leakage is noticeable in the compression and expansion modes of the pump. The damage parameter value over 300 cycles is calculated in two ways, considering advance or delay in the opening and closing angles of the discharge valves. The probability density functions of the damage parameter are compared for diagnosis and prognosis on the basis of the probabilistic features of valve leakage. |
| first_indexed | 2024-12-21T21:14:41Z |
| format | Article |
| id | doaj.art-3cfba9fbb8a04300b296e5d3283b1d69 |
| institution | Directory Open Access Journal |
| issn | 1738-5733 |
| language | English |
| last_indexed | 2024-12-21T21:14:41Z |
| publishDate | 2016-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Nuclear Engineering and Technology |
| spelling | doaj.art-3cfba9fbb8a04300b296e5d3283b1d692022-12-21T18:50:02ZengElsevierNuclear Engineering and Technology1738-57332016-10-014851280129010.1016/j.net.2016.04.007Estimation of Probability Density Functions of Damage Parameter for Valve Leakage Detection in Reciprocating Pump Used in Nuclear Power PlantsJong Kyeom LeeTae Yun KimHyun Su KimJang-Bom ChaiJin Woo LeeThis paper presents an advanced estimation method for obtaining the probability density functions of a damage parameter for valve leakage detection in a reciprocating pump. The estimation method is based on a comparison of model data which are simulated by using a mathematical model, and experimental data which are measured on the inside and outside of the reciprocating pump in operation. The mathematical model, which is simplified and extended on the basis of previous models, describes not only the normal state of the pump, but also its abnormal state caused by valve leakage. The pressure in the cylinder is expressed as a function of the crankshaft angle, and an additional volume flow rate due to the valve leakage is quantified by a damage parameter in the mathematical model. The change in the cylinder pressure profiles due to the suction valve leakage is noticeable in the compression and expansion modes of the pump. The damage parameter value over 300 cycles is calculated in two ways, considering advance or delay in the opening and closing angles of the discharge valves. The probability density functions of the damage parameter are compared for diagnosis and prognosis on the basis of the probabilistic features of valve leakage.http://www.sciencedirect.com/science/article/pii/S1738573316300523Damage ParameterDiagnosisMathematical ModelProbability Density FunctionReciprocating PumpValve Leakage |
| spellingShingle | Jong Kyeom Lee Tae Yun Kim Hyun Su Kim Jang-Bom Chai Jin Woo Lee Estimation of Probability Density Functions of Damage Parameter for Valve Leakage Detection in Reciprocating Pump Used in Nuclear Power Plants Nuclear Engineering and Technology Damage Parameter Diagnosis Mathematical Model Probability Density Function Reciprocating Pump Valve Leakage |
| title | Estimation of Probability Density Functions of Damage Parameter for Valve Leakage Detection in Reciprocating Pump Used in Nuclear Power Plants |
| title_full | Estimation of Probability Density Functions of Damage Parameter for Valve Leakage Detection in Reciprocating Pump Used in Nuclear Power Plants |
| title_fullStr | Estimation of Probability Density Functions of Damage Parameter for Valve Leakage Detection in Reciprocating Pump Used in Nuclear Power Plants |
| title_full_unstemmed | Estimation of Probability Density Functions of Damage Parameter for Valve Leakage Detection in Reciprocating Pump Used in Nuclear Power Plants |
| title_short | Estimation of Probability Density Functions of Damage Parameter for Valve Leakage Detection in Reciprocating Pump Used in Nuclear Power Plants |
| title_sort | estimation of probability density functions of damage parameter for valve leakage detection in reciprocating pump used in nuclear power plants |
| topic | Damage Parameter Diagnosis Mathematical Model Probability Density Function Reciprocating Pump Valve Leakage |
| url | http://www.sciencedirect.com/science/article/pii/S1738573316300523 |
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