CN114235423A - Method for detecting faults of gas turbine lubricating oil supply system - Google Patents

Method for detecting faults of gas turbine lubricating oil supply system Download PDF

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Publication number
CN114235423A
CN114235423A CN202111519911.1A CN202111519911A CN114235423A CN 114235423 A CN114235423 A CN 114235423A CN 202111519911 A CN202111519911 A CN 202111519911A CN 114235423 A CN114235423 A CN 114235423A
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CN
China
Prior art keywords
lubricating oil
oil supply
gas turbine
temperature
supply system
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Pending
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CN202111519911.1A
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Chinese (zh)
Inventor
林枫
王伟影
孙鹏
栾永军
胡汀
程忆晗
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703th Research Institute of CSIC
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703th Research Institute of CSIC
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Priority to CN202111519911.1A priority Critical patent/CN114235423A/en
Publication of CN114235423A publication Critical patent/CN114235423A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M15/00Testing of engines
    • G01M15/14Testing gas-turbine engines or jet-propulsion engines
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

Abstract

The invention aims to provide a method for detecting faults of a gas turbine lubricating oil supply system, which comprises the following steps: and establishing lubricating oil supply pressure, temperature, rotating speed and oil return temperature curves of all working conditions of the lubricating oil system in a normal state, and establishing an upper boundary, a lower boundary and a control center line. And detecting the real-time states of the parameters of the power, the rotating speed, the lubricating oil supply pressure, the temperature and the oil return temperature of the gas turbine, and judging condition rules aiming at the abnormal alarm of the lubricating oil supply system of the gas turbine. And when the lubricating oil supply pressure is reduced or the lubricating oil supply temperature is increased and the unit power and the rotating speed stably meet the SPC detection rule, judging that the lubricating oil supply system of the gas turbine is abnormal. The method can effectively detect the faults of the gas turbine lubricating oil supply system, and is a simple, efficient, accurate and real-time method for detecting the abnormal gas turbine lubricating oil supply.

Description

Method for detecting faults of gas turbine lubricating oil supply system
Technical Field
The invention relates to a gas turbine detection method, in particular to a gas turbine lubricating oil detection method.
Background
The lubricating oil system of the gas turbine is used for providing proper lubricating oil for the gas turbine so as to meet the requirements of the gas turbine on lubrication, cooling and regulation during normal operation, and takes away heat transmitted by friction and high-temperature parts so as to maintain the normal operating temperature range of parts and prolong the service life of the parts.
If the lubricating oil system is abnormal, the bearing is abraded and other faults can be caused, and the unit can be scrapped seriously.
Disclosure of Invention
The invention aims to provide a method for detecting faults of a gas turbine lubricating oil supply system, which can effectively detect the faults of the gas turbine lubricating oil supply system.
The purpose of the invention is realized as follows:
the invention discloses a method for detecting faults of a gas turbine lubricating oil supply system, which is characterized by comprising the following steps:
(1) establishing lubricating oil supply pressure, temperature, rotating speed and oil return temperature curves of all working conditions of a lubricating oil system in a normal state, and establishing an upper boundary, a lower boundary and a control center line;
(2) detecting the real-time states of the power, the rotating speed, the lubricating oil supply pressure, the temperature and the oil return temperature parameters of the gas turbine;
(3) and (3) aiming at the abnormity alarm judgment condition rule of the gas turbine lubricating oil supply system, when the lubricating oil supply pressure is reduced or the lubricating oil supply temperature is increased and the unit power and the rotating speed stably accord with the SPC detection rule, judging that the gas turbine lubricating oil supply system is abnormal.
The present invention may further comprise:
1. the control center line is the average value of the historical normal operation process curve, the upper boundary is the control center line plus 3 times of standard deviation counted according to historical data, and the lower boundary is the control center line minus 3 times of standard deviation counted according to historical data.
The invention has the advantages that: the method can effectively detect the faults of the gas turbine lubricating oil supply system, and is a simple, efficient, accurate and real-time method for detecting the abnormal gas turbine lubricating oil supply.
Drawings
FIG. 1 is a gas turbine oil system parameter control curve;
FIG. 2 is a flow chart of the identification of the supply condition of the oil during operation of the gas turbine;
fig. 3 is a flowchart of abnormality detection of the gas turbine oil supply system.
Detailed Description
The invention will now be described in more detail by way of example with reference to the accompanying drawings in which:
with reference to fig. 1-3, the practice of the present invention includes the following steps:
and establishing lubricating oil supply pressure, temperature, rotating speed and oil return temperature curves of all working conditions of the lubricating oil system in a normal state, and establishing an upper boundary, a lower boundary and a control center line.
All unit parameters related to the lubricating oil system during the operation of the combustion engine are selected, and a normal operation lubricating oil supply pressure, temperature, rotating speed and oil return temperature curve established by using historical data of the combustion engine comprises an upper boundary, a lower boundary and a control center line.
The control center line is the average value of the historical normal operation process curve, the upper boundary is the control center line plus 3 times of standard deviation counted according to historical data, and the lower boundary is the control center line minus 3 times of standard deviation counted according to historical data. Wherein the value of 3 is adjusted according to actual data. This process can be performed off-line.
And detecting the real-time states of the parameters of the power, the rotating speed, the lubricating oil supply pressure, the temperature and the oil return temperature of the gas turbine.
(1) Collecting parameters of power, rotating speed, lubricating oil supply pressure, temperature and oil return temperature of the gas turbine in the actual operation process of the gas turbine;
(2) preprocessing the collected unit operation data, and calculating the rotating speed of the corresponding gas turbine, the supply pressure of lubricating oil and the temperature;
(3) according to historical experience, a data state detection rule in a quality control chart theory (SPC rule) is selected, and real-time change states of supply pressure and temperature of lubricating oil of the unit are monitored.
And judging the abnormality of the gas turbine oil supply system.
And aiming at the abnormity alarm judgment condition rule of the gas turbine lubricating oil supply system, when the lubricating oil supply pressure is reduced or the lubricating oil supply temperature is increased and the power and the rotating speed of the unit stably meet the detection rule, judging that the gas turbine lubricating oil supply system is abnormal.

Claims (2)

1. A method for detecting faults of a gas turbine lubricating oil supply system is characterized by comprising the following steps:
(1) establishing lubricating oil supply pressure, temperature, rotating speed and oil return temperature curves of all working conditions of a lubricating oil system in a normal state, and establishing an upper boundary, a lower boundary and a control center line;
(2) detecting the real-time states of the power, the rotating speed, the lubricating oil supply pressure, the temperature and the oil return temperature parameters of the gas turbine;
(3) and (3) aiming at the abnormity alarm judgment condition rule of the gas turbine lubricating oil supply system, when the lubricating oil supply pressure is reduced or the lubricating oil supply temperature is increased and the unit power and the rotating speed stably accord with the SPC detection rule, judging that the gas turbine lubricating oil supply system is abnormal.
2. The method of claim 1, wherein the method comprises: the control center line is the average value of the historical normal operation process curve, the upper boundary is the control center line plus 3 times of standard deviation counted according to historical data, and the lower boundary is the control center line minus 3 times of standard deviation counted according to historical data.
CN202111519911.1A 2021-12-13 2021-12-13 Method for detecting faults of gas turbine lubricating oil supply system Pending CN114235423A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111519911.1A CN114235423A (en) 2021-12-13 2021-12-13 Method for detecting faults of gas turbine lubricating oil supply system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111519911.1A CN114235423A (en) 2021-12-13 2021-12-13 Method for detecting faults of gas turbine lubricating oil supply system

Publications (1)

Publication Number Publication Date
CN114235423A true CN114235423A (en) 2022-03-25

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CN202111519911.1A Pending CN114235423A (en) 2021-12-13 2021-12-13 Method for detecting faults of gas turbine lubricating oil supply system

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CN (1) CN114235423A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114235422A (en) * 2021-12-13 2022-03-25 中国船舶重工集团公司第七0三研究所 Method for detecting abnormal starting of gas turbine
CN114252216A (en) * 2021-12-13 2022-03-29 中国船舶重工集团公司第七0三研究所 Method for detecting leakage of lubricating oil of gas turbine

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JP2007192138A (en) * 2006-01-19 2007-08-02 Mitsubishi Heavy Ind Ltd Method and device for monitoring anomaly in gas turbine
JP2011157976A (en) * 2011-05-27 2011-08-18 Mitsubishi Heavy Ind Ltd Failure monitoring method and device in gas turbine
CN103364200A (en) * 2013-07-03 2013-10-23 哈尔滨工程大学 State evaluation method of starting procedure of gas turbine
CN203519461U (en) * 2013-11-01 2014-04-02 国家电网公司 Online monitoring device for wind generation set gear oil
CN107702924A (en) * 2017-11-21 2018-02-16 贵州智慧能源科技有限公司 Monitoring system and its trouble-shooter
CN110530650A (en) * 2019-09-05 2019-12-03 哈尔滨电气股份有限公司 Heavy duty gas turbine performance state monitoring method based on generalized regression nerve networks Yu box map analysis
CN110987493A (en) * 2019-11-14 2020-04-10 深圳市华星光电半导体显示技术有限公司 Equipment abnormality detection method and device, storage medium and electronic equipment
CN111159844A (en) * 2019-12-02 2020-05-15 中国电建集团江西省电力设计院有限公司 Abnormity detection method for exhaust temperature of gas turbine of power station
CN112197973A (en) * 2020-08-17 2021-01-08 中国船舶重工集团公司第七0四研究所 Diesel generating set health diagnosis method
CN113469061A (en) * 2021-07-03 2021-10-01 刘汉有 Gas turbine fault detection method based on principal component analysis method
CN114252272A (en) * 2021-12-13 2022-03-29 中国船舶重工集团公司第七0三研究所 Method for detecting abnormal heat dissipation of gas turbine bearing
CN114252216A (en) * 2021-12-13 2022-03-29 中国船舶重工集团公司第七0三研究所 Method for detecting leakage of lubricating oil of gas turbine
CN114323665A (en) * 2021-12-13 2022-04-12 中国船舶重工集团公司第七0三研究所 Method for detecting faults of fuel supply system of gas turbine

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007192138A (en) * 2006-01-19 2007-08-02 Mitsubishi Heavy Ind Ltd Method and device for monitoring anomaly in gas turbine
JP2011157976A (en) * 2011-05-27 2011-08-18 Mitsubishi Heavy Ind Ltd Failure monitoring method and device in gas turbine
CN103364200A (en) * 2013-07-03 2013-10-23 哈尔滨工程大学 State evaluation method of starting procedure of gas turbine
CN203519461U (en) * 2013-11-01 2014-04-02 国家电网公司 Online monitoring device for wind generation set gear oil
CN107702924A (en) * 2017-11-21 2018-02-16 贵州智慧能源科技有限公司 Monitoring system and its trouble-shooter
CN110530650A (en) * 2019-09-05 2019-12-03 哈尔滨电气股份有限公司 Heavy duty gas turbine performance state monitoring method based on generalized regression nerve networks Yu box map analysis
CN110987493A (en) * 2019-11-14 2020-04-10 深圳市华星光电半导体显示技术有限公司 Equipment abnormality detection method and device, storage medium and electronic equipment
CN111159844A (en) * 2019-12-02 2020-05-15 中国电建集团江西省电力设计院有限公司 Abnormity detection method for exhaust temperature of gas turbine of power station
CN112197973A (en) * 2020-08-17 2021-01-08 中国船舶重工集团公司第七0四研究所 Diesel generating set health diagnosis method
CN113469061A (en) * 2021-07-03 2021-10-01 刘汉有 Gas turbine fault detection method based on principal component analysis method
CN114252272A (en) * 2021-12-13 2022-03-29 中国船舶重工集团公司第七0三研究所 Method for detecting abnormal heat dissipation of gas turbine bearing
CN114252216A (en) * 2021-12-13 2022-03-29 中国船舶重工集团公司第七0三研究所 Method for detecting leakage of lubricating oil of gas turbine
CN114323665A (en) * 2021-12-13 2022-04-12 中国船舶重工集团公司第七0三研究所 Method for detecting faults of fuel supply system of gas turbine

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114235422A (en) * 2021-12-13 2022-03-25 中国船舶重工集团公司第七0三研究所 Method for detecting abnormal starting of gas turbine
CN114252216A (en) * 2021-12-13 2022-03-29 中国船舶重工集团公司第七0三研究所 Method for detecting leakage of lubricating oil of gas turbine
CN114252216B (en) * 2021-12-13 2024-02-20 中国船舶重工集团公司第七0三研究所 Detection method for lubricating oil leakage of gas turbine

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