CN112555050A - Method for monitoring running state and scramming of distributed supersonic airflow generation device - Google Patents
Method for monitoring running state and scramming of distributed supersonic airflow generation device Download PDFInfo
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- CN112555050A CN112555050A CN202011404605.9A CN202011404605A CN112555050A CN 112555050 A CN112555050 A CN 112555050A CN 202011404605 A CN202011404605 A CN 202011404605A CN 112555050 A CN112555050 A CN 112555050A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02K—JET-PROPULSION PLANTS
- F02K7/00—Plants in which the working fluid is used in a jet only, i.e. the plants not having a turbine or other engine driving a compressor or a ducted fan; Control thereof
- F02K7/10—Plants in which the working fluid is used in a jet only, i.e. the plants not having a turbine or other engine driving a compressor or a ducted fan; Control thereof characterised by having ram-action compression, i.e. aero-thermo-dynamic-ducts or ram-jet engines
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02C—GAS-TURBINE PLANTS; AIR INTAKES FOR JET-PROPULSION PLANTS; CONTROLLING FUEL SUPPLY IN AIR-BREATHING JET-PROPULSION PLANTS
- F02C7/00—Features, components parts, details or accessories, not provided for in, or of interest apart form groups F02C1/00 - F02C6/00; Air intakes for jet-propulsion plants
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M15/00—Testing of engines
- G01M15/04—Testing internal-combustion engines
- G01M15/042—Testing internal-combustion engines by monitoring a single specific parameter not covered by groups G01M15/06 - G01M15/12
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Abstract
The invention provides a method for monitoring the running state and scramming of a distributed supersonic airflow generating device. The method is realized based on a distributed lower computer measurement cluster and an upper computer measurement cluster, and comprises the following steps: step 1) sampling state characterization parameters; step 2) parameter screening; step 3) each lower measurement computer unit judges corresponding characterization parameter data after parameter screening according to the acquired criterion table; step 4), when a certain condition is met, the lower measurement computer unit sends an early warning signal of the characterization parameter to the upper measurement computer; and 5) the upper measuring computer performs early warning summary, and sends an emergency stop command to the control host computer when certain conditions are met, so that the supersonic air flow generating device executes an emergency stop program. The invention only needs to set and release the rule table on the upper computer, thus having small workload; and excessive network resources are not occupied, data congestion is avoided, and the risk of equipment damage caused by untimely pre-alarm is reduced.
Description
Technical Field
The invention belongs to the technical field of ramjet tests, and particularly relates to a method for monitoring the running state and scramming of a distributed supersonic airflow generation device.
Background
The supersonic speed air flow generating device continuously heats continuous supersonic speed air flow through liquid oxygen and alcohol combustion to generate continuous supersonic speed high temperature air flow, and supersonic speed high temperature air flow simulation environment is provided for a ramjet engine test. The supersonic airflow generating device has the risks of leakage of three high-pressure component pipeline media (liquid oxygen, alcohol and air), damage of the device and the like in the running state, and timely response confirmation and sudden stop of the device at the early stage of the risk of the supersonic airflow generating device cannot be realized through human visual observation.
At present, a fault diagnosis method for a supersonic airflow generation device is blank, and a host/client mode is generally adopted for the fault diagnosis method for similar devices, and the mode needs to modify an original program every time, has large modification amount, is easy to make mistakes and is not easy to check; the mode occupies more network resources, data congestion often occurs, characterization parameter data are lost, early warning is not timely, sudden stop is delayed, and the risk of equipment damage is increased.
Disclosure of Invention
The purpose of the invention is: the method solves the problem of operation monitoring of the supersonic air flow generating device in the prior art, and provides a high-efficiency and reliable real-time monitoring and emergency stopping method for the operation state of the supersonic air flow generating device, so that the supersonic air flow generating device is rapidly and emergently controlled at the beginning of risk occurrence.
In order to achieve the above object, the present invention proposes the following solutions:
a method for monitoring the running state and scramming of a distributed supersonic airflow generating device is characterized in that the method is realized based on a distributed lower measuring computer cluster and an upper measuring computer and comprises the following steps:
step 1) sampling of state characterization parameters
The measuring lower computer cluster obtains electric signal data corresponding to the state of a key part preset by the supersonic airflow generating device through a measuring sensor arranged at the key part, and the electric signal data is amplified, sampled and converted into a characterization parameter in a physical quantity form;
step 2) parameter screening
Eliminating the characterization parameter data which can not truly characterize the running state of the supersonic air generating device;
step 3) data judgment
Each lower measurement computer unit of the lower measurement computer cluster executes corresponding standard contents in the standard table according to the acquired standard table and judges corresponding characterization parameter data after parameter screening; the standard contents of the standard table comprise the number of the lower measuring computer, the time period when the standard takes effect, and the upper limit value and the lower limit value of the safety range of the corresponding characterization parameter;
step 4) reporting early warning
If the measured values of continuous sampling exceed the safety range and reach the set times M, the corresponding lower measurement computer unit immediately sends an early warning signal of the characterization parameter to the upper measurement computer;
step 5) early warning summarization and response
The measuring upper computer receives the early warning signals sent by the measuring lower computer cluster, if the number of the real-time early warning signals reaches a set number N, the operating condition of 'emergency stop' execution is met, and an 'emergency stop' instruction is sent to the control host computer, so that the supersonic air flow generating device executes an emergency stop program; if not, continuing monitoring.
Based on the above scheme, the invention further optimizes as follows:
optionally, before step 1), the criteria table is generated by the measurement upper computer; and the measuring lower computer cluster acquires a standard table from the measuring upper computer through a communication network.
Optionally, each lower measurement computer unit analyzes the acquired criterion table, and only the criterion content corresponding to the lower measurement computer unit is reserved.
Optionally, the characterization parameters collected by the measurement lower computer cluster include igniter firing signals (firing current signals), pre-injection pressure, inlet temperature, and air flow.
Optionally, the upper limit value and the lower limit value of the safety range of the characterizing parameter in the criterion table are established for the stage after the running state of the supersonic airflow generating device is stable; the expression is as follows:
Yi(t)∈[N1,N2] (1)
Yi(t) is the measured value of the characterization parameter data of the stable segment;
N1represents the lower limit value of the safety range, and is M x 80%, wherein M is a rated value;
N2the upper limit value of the safety range is represented by M x 120%, and M is a rated value.
Optionally, the measurement lower computer cluster and the measurement upper computer transmit data through a ring fiber ethernet network.
Optionally, the step 4) reports an early warning, and the set number M is 4;
optionally, in the step 5), the warning summary and the response are performed, and the set number N is 4.
Compared with the prior art, the invention has at least the following advantages:
1. only the standard table needs to be set and issued on the measurement upper computer, the workload is small, and the original program does not need to be modified, so that the inspection and the correction are convenient.
2. The lower measurement computer is responsible for monitoring the state condition of the parameter, and only when the early warning condition is met, the parameter early warning is sent to the upper measurement computer, so that the operation load of the upper measurement computer is reduced, and the operation efficiency of the distributed monitoring system is higher.
3. The distributed system network occupies less resources, and only after the lower computer cluster early warning meets the conditions, the early warning signal is transmitted to the upper computer, so that excessive network resources are not occupied, data congestion is avoided, and the risk of equipment damage caused by untimely early warning is reduced.
Drawings
Fig. 1 is a schematic diagram of the principle of the present invention.
Detailed Description
The present invention will be further described in detail by way of examples with reference to the accompanying drawings.
The method for monitoring the running state and stopping suddenly of the distributed supersonic airflow generation device is realized based on a distributed lower measuring computer cluster and an upper measuring computer. And the lower measurement computer cluster and the upper measurement computer transmit data through the annular optical fiber Ethernet.
And finishing the rule setting on the upper measurement computer in advance according to the input of a user.
The operation is carried out on a measurement upper computer and comprises the steps of selecting characterization parameters and setting criteria. The method comprises the following steps of selecting characterization parameters, determining parts capable of accurately reflecting the running state of the device, and carrying out measurement sensor deployment aiming at the parts, wherein the measurement sensor deployment generally comprises an igniter ignition signal, pre-injection pressure, inlet temperature, air flow and the like; parameter data of the measuring points at the positions are obtained through the sensors, and monitoring is carried out after the work enters a stable section. The standard contents of the standard table comprise the number of the lower measurement computer, the time period when the standard takes effect, and the upper limit value and the lower limit value of the safety range of the corresponding characterization parameters.
As shown in fig. 1, the implementation steps of this embodiment are as follows:
step 1) sampling of state characterization parameters
The measuring lower computer cluster obtains electric signal data corresponding to the state of a key part preset by the supersonic airflow generating device through a measuring sensor arranged at the key part, the electric signal is amplified by a signal amplifying device and then sent to a data sampling unit, and the data sampling unit converts the signal into physical quantity for judgment; here, each measurement lower computer unit of the measurement lower computer cluster may be provided with one or more sensors (data channels) to acquire different kinds of characterization parameter data;
step 2) parameter screening
Removing the characterization parameters which can not truly characterize the running state of the supersonic air generating device; for example, the total number of the characterization parameters obtained by measuring the lower computer cluster is 6, one characterization parameter is originally only possible to be a positive number, but the obtained actual parameter value is a negative number, which indicates that the corresponding sensor is possibly damaged, i.e. the parameter data is judged to be abnormal parameter data, the characterization parameter is rejected, and the remaining 5 characterization parameters are subjected to next data judgment;
step 3) data judgment
Each lower measurement computer unit of the lower measurement computer cluster acquires a criterion table from the lower measurement computer, executes corresponding criterion contents in the criterion table respectively, and judges corresponding characterization parameter data after parameter screening; the standard contents of the standard table comprise the number of the lower measuring computer, the time period when the standard takes effect, and the upper limit value and the lower limit value of the safety range of the corresponding characterization parameter;
each lower measurement computer unit analyzes the acquired criterion table and can only keep the criterion content corresponding to the lower measurement computer unit;
step 4) reporting early warning
The upper limit value and the lower limit value of the safety range of the characterization parameters in the criterion table are established aiming at the stage after the running state of the supersonic airflow generating device is stable; the expression is as follows:
Yi(t)∈[N1,N2] (1)
Yi(t) is the measured value of the characterization parameter data of the stable segment;
N1represents the lower limit value of the safety range, and is M x 80%, wherein M is a rated value;
N2representing the upper limit value of the safety range, and M is 120 percent, and M is a rated value;
if the measured values of continuous sampling exceed the safety range and reach 4 times, the corresponding lower measurement computer unit immediately sends an early warning signal of the characterization parameter to the upper measurement computer;
step 5) early warning summarization and response
The measuring upper computer receives early warning signals sent by the measuring lower computer cluster, if the number of the real-time early warning signals reaches 4, the operating condition of 'emergency stop' execution is met, and an 'emergency stop' instruction is sent to the control host computer, so that the supersonic air flow generating device executes an emergency stop program; if not, continuing monitoring.
The method can realize the operation state and the emergency stop operation of the distributed monitoring supersonic airflow generating device, set and release a standard table by the measuring upper computer, download the standard table by the measuring lower computer in a cluster manner, judge and confirm the measurement parameter data obtained by sampling according to the standard table, transmit the state data to the measuring upper computer in real time, and the upper computer collects the state information and calculates whether the emergency stop operation needs to be executed or not. If the 'emergency stop' operation needs to be executed, an execution instruction is sent to the control host, and an emergency stop program is entered.
In addition, the method is applied to the development process of the supersonic airflow generation device, reduces the damage times of the supersonic airflow generation device due to various risks, improves the repeated utilization rate of the device, saves the development cost and shortens the development period.
Claims (8)
1. A method for monitoring the running state and scramming of a distributed supersonic airflow generation device is characterized by being realized based on a distributed lower measuring computer cluster and an upper measuring computer and comprising the following steps of:
step 1) sampling of state characterization parameters
The measuring lower computer cluster obtains electric signal data corresponding to the state of a key part preset by the supersonic airflow generating device through a measuring sensor arranged at the key part, and the electric signal data is amplified, sampled and converted into a characterization parameter in a physical quantity form;
step 2) parameter screening
Eliminating the characterization parameter data which can not truly characterize the running state of the supersonic air generating device;
step 3) data judgment
Judging corresponding characterization parameter data after parameter screening by each lower measurement computer unit of the lower measurement computer cluster according to the acquired standard table; the standard contents of the standard table comprise the number of the lower measuring computer, the time period when the standard takes effect, and the upper limit value and the lower limit value of the safety range of the corresponding characterization parameter;
step 4) reporting early warning
If the measured values of continuous sampling exceed the safety range and reach the set times M, the corresponding lower measurement computer unit immediately sends an early warning signal of the characterization parameter to the upper measurement computer;
step 5) early warning summarization and response
The measurement upper computer receives the early warning signals sent by the measurement lower computer cluster, and if the number of the real-time early warning signals reaches a set number N, an 'emergency stop' instruction is sent to the control host computer, so that the supersonic air flow generating device executes an emergency stop program; if not, continuing monitoring.
2. The method of claim 1, wherein the method comprises the steps of: before step 1), the criterion table is generated by the measurement upper computer; and the measuring lower computer cluster acquires a standard table from the measuring upper computer through a communication network.
3. The method of claim 2, wherein the method comprises the steps of: each lower measurement computer unit analyzes the acquired criterion table and only reserves the criterion content corresponding to the lower measurement computer unit.
4. The method of claim 1, wherein the method comprises the steps of: the characterization parameters collected by the lower computer cluster include an igniter ignition signal, a pre-injection pressure, an inlet temperature and an air flow.
5. The method of claim 1, wherein the method comprises the steps of: the upper limit value and the lower limit value of the safety range of the characterization parameters in the criterion table are established aiming at the stage after the running state of the supersonic airflow generating device is stable; the expression is as follows:
Yi(t)∈[N1,N2] (1)
Yi(t) is the measured value of the characterization parameter data of the stable segment;
N1represents the lower limit value of the safety range, and is M x 80%, wherein M is a rated value;
N2the upper limit value of the safety range is represented by M x 120%, and M is a rated value.
6. The method of claim 1, wherein the method comprises the steps of: and the lower measurement computer cluster and the upper measurement computer transmit data through an annular optical fiber Ethernet.
7. The method of claim 1, wherein the method comprises the steps of: and 4) reporting an early warning, wherein the set number of times M is 4.
8. The method of claim 1, wherein the method comprises the steps of: and 5) early warning summarization and response, wherein the set number N is 4.
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Citations (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4029952A (en) * | 1973-11-06 | 1977-06-14 | Westinghouse Electric Corporation | Electric power plant having a multiple computer system for redundant control of turbine and steam generator operation |
US4606312A (en) * | 1984-07-31 | 1986-08-19 | Kawasaki Jukogyo Kabushiki Kaisha | System for detecting abnormalities in gas engines |
US20060015244A1 (en) * | 2002-10-10 | 2006-01-19 | Hawkins Jeffery S | Redundant engine shutdown system |
CN101063643A (en) * | 2007-02-02 | 2007-10-31 | 北京航空航天大学 | Intelligent diagnostic method for airplane functional failure and system thereof |
US20080133149A1 (en) * | 2006-12-05 | 2008-06-05 | Robert Louis Ponziani | Sensor fault detection and compensation |
CN102288911A (en) * | 2011-06-03 | 2011-12-21 | 中国神华能源股份有限公司 | System and method for monitoring and diagnosing thermal generator set |
CN103017819A (en) * | 2011-09-23 | 2013-04-03 | 波音公司 | Sensor system |
CN103792087A (en) * | 2014-01-24 | 2014-05-14 | 西安航天动力试验技术研究所 | Parallel trial run fault monitoring and diagnosing method |
CN103863578A (en) * | 2013-07-12 | 2014-06-18 | 北京航空航天大学 | Air injection thruster of Mars lander and control moment gyroscope compound control system |
US20150362405A1 (en) * | 2013-02-05 | 2015-12-17 | Siemens Aktiengesellschaft | Auto testing system for a gas turbine |
US20160363001A1 (en) * | 2015-06-10 | 2016-12-15 | Rolls-Royce North American Technologies, Inc. | Emergency Shut-Down Detection System For A Gas Turbine |
CN106482951A (en) * | 2016-09-12 | 2017-03-08 | 西安航天动力试验技术研究所 | A kind of engine behavior monitoring and automatic shutdown method |
US20180040175A1 (en) * | 2016-08-05 | 2018-02-08 | Siemens Energy, Inc. | Hyper-redundant sensor nodes |
CN108613790A (en) * | 2018-04-28 | 2018-10-02 | 北京航天长征飞行器研究所 | A kind of wind tunnel operation fault diagnosis system based on distributed structure/architecture |
US20190147670A1 (en) * | 2017-11-15 | 2019-05-16 | The Boeing Company | Real Time Streaming Analytics for Flight Data Processing |
CN110131050A (en) * | 2018-02-02 | 2019-08-16 | 通用电气公司 | Virtualization data for vehicle control system |
CN110502581A (en) * | 2019-08-27 | 2019-11-26 | 中国联合网络通信集团有限公司 | Distributed data base system monitoring method and device |
CN110550229A (en) * | 2018-06-01 | 2019-12-10 | 霍尼韦尔国际公司 | System and method for generating an environmental control system health report for an aircraft |
CN110727683A (en) * | 2019-09-30 | 2020-01-24 | 杭州久益机械股份有限公司 | Distributed compressor state monitoring data encoding method and monitoring method |
US20200198797A1 (en) * | 2018-12-20 | 2020-06-25 | Rolls-Royce North American Technologies Inc. | Method and process for blockchain implementation with third party devices |
CN111779579A (en) * | 2020-08-12 | 2020-10-16 | 中石油西北联合管道有限责任公司 | Gas turbine safety control method and device based on redundant safety chain |
US20200371487A1 (en) * | 2019-05-22 | 2020-11-26 | Siemens Aktiengesellschaft | Operational policies of industrial field devices and distributed databases |
-
2020
- 2020-12-02 CN CN202011404605.9A patent/CN112555050B/en active Active
Patent Citations (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4029952A (en) * | 1973-11-06 | 1977-06-14 | Westinghouse Electric Corporation | Electric power plant having a multiple computer system for redundant control of turbine and steam generator operation |
US4606312A (en) * | 1984-07-31 | 1986-08-19 | Kawasaki Jukogyo Kabushiki Kaisha | System for detecting abnormalities in gas engines |
US20060015244A1 (en) * | 2002-10-10 | 2006-01-19 | Hawkins Jeffery S | Redundant engine shutdown system |
US20080133149A1 (en) * | 2006-12-05 | 2008-06-05 | Robert Louis Ponziani | Sensor fault detection and compensation |
CN101063643A (en) * | 2007-02-02 | 2007-10-31 | 北京航空航天大学 | Intelligent diagnostic method for airplane functional failure and system thereof |
CN102288911A (en) * | 2011-06-03 | 2011-12-21 | 中国神华能源股份有限公司 | System and method for monitoring and diagnosing thermal generator set |
CN103017819A (en) * | 2011-09-23 | 2013-04-03 | 波音公司 | Sensor system |
US20150362405A1 (en) * | 2013-02-05 | 2015-12-17 | Siemens Aktiengesellschaft | Auto testing system for a gas turbine |
CN103863578A (en) * | 2013-07-12 | 2014-06-18 | 北京航空航天大学 | Air injection thruster of Mars lander and control moment gyroscope compound control system |
CN103792087A (en) * | 2014-01-24 | 2014-05-14 | 西安航天动力试验技术研究所 | Parallel trial run fault monitoring and diagnosing method |
US20160363001A1 (en) * | 2015-06-10 | 2016-12-15 | Rolls-Royce North American Technologies, Inc. | Emergency Shut-Down Detection System For A Gas Turbine |
US20180040175A1 (en) * | 2016-08-05 | 2018-02-08 | Siemens Energy, Inc. | Hyper-redundant sensor nodes |
CN106482951A (en) * | 2016-09-12 | 2017-03-08 | 西安航天动力试验技术研究所 | A kind of engine behavior monitoring and automatic shutdown method |
US20190147670A1 (en) * | 2017-11-15 | 2019-05-16 | The Boeing Company | Real Time Streaming Analytics for Flight Data Processing |
CN110131050A (en) * | 2018-02-02 | 2019-08-16 | 通用电气公司 | Virtualization data for vehicle control system |
CN108613790A (en) * | 2018-04-28 | 2018-10-02 | 北京航天长征飞行器研究所 | A kind of wind tunnel operation fault diagnosis system based on distributed structure/architecture |
CN110550229A (en) * | 2018-06-01 | 2019-12-10 | 霍尼韦尔国际公司 | System and method for generating an environmental control system health report for an aircraft |
US20200198797A1 (en) * | 2018-12-20 | 2020-06-25 | Rolls-Royce North American Technologies Inc. | Method and process for blockchain implementation with third party devices |
US20200371487A1 (en) * | 2019-05-22 | 2020-11-26 | Siemens Aktiengesellschaft | Operational policies of industrial field devices and distributed databases |
CN110502581A (en) * | 2019-08-27 | 2019-11-26 | 中国联合网络通信集团有限公司 | Distributed data base system monitoring method and device |
CN110727683A (en) * | 2019-09-30 | 2020-01-24 | 杭州久益机械股份有限公司 | Distributed compressor state monitoring data encoding method and monitoring method |
CN111779579A (en) * | 2020-08-12 | 2020-10-16 | 中石油西北联合管道有限责任公司 | Gas turbine safety control method and device based on redundant safety chain |
Non-Patent Citations (3)
Title |
---|
刘洪刚等: "液体火箭发动机地面试车实时故障检测与报警系统", 《导弹与航天运载技术》 * |
叶俊民等: "软件体系结构测试覆盖准则研究", 《计算机工程》 * |
唐云龙等: "液氧_煤油发动机地面试验故障紧急关机系统研制", 《火箭推进》 * |
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