CN105159283A - Remote fault analysis and feedback system of urban rail transit vehicle - Google Patents
Remote fault analysis and feedback system of urban rail transit vehicle Download PDFInfo
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- CN105159283A CN105159283A CN201510557582.8A CN201510557582A CN105159283A CN 105159283 A CN105159283 A CN 105159283A CN 201510557582 A CN201510557582 A CN 201510557582A CN 105159283 A CN105159283 A CN 105159283A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24048—Remote test, monitoring, diagnostic
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
Disclosed in the invention is a remote fault analysis and feedback system of an urban rail transit vehicle. The system comprises a vehicle-mounted device system and a ground device system. The vehicle-mounted device system includes a data acquisition module, a data transmitting-receiving module, and an intelligent display terminal; and the ground device system contains a data transmitting-receiving module, a fault analysis module, and a fault knowledge base. According to the invention, the vehicle-mounted device system collects vehicle data and the ground device system receive the data to carry out analyses continuously; diagnosis is carried out based on a fault tree and fault diagnosis steps; and a diagnosis result can be fed back to a vehicle intelligent terminal in real time. Therefore, accuracy and reliability of the fault diagnosis can be improved.
Description
Technical field
The present invention relates to data sampling and processing technology, particularly relate to a kind of urban rail transit vehicles remote fault analysis and feedback system.
Background technology
The real-time monitoring and fault diagnosis of urban rail transit vehicles is the important leverage of people's safe operation, and existing vehicle safety runs and depends on vehicle-mounted fault diagnosis, lacks the research to remote fault diagnosis aspect.
Along with the develop rapidly of modern science and control technology, urban rail transit vehicles technology is also constantly being improved and is strengthening.The composition structure of urban rail transit vehicles becomes increasingly complex, integrated functionality is more and more perfect, general performance is urban rail transit vehicles more and more robotization, and these factors result also in the generation of urban rail transit vehicles fault frequently, and the type broken down is also complicated various.
Make a general survey of the current situation of urban rail transit vehicles monitoring and diagnostic techniques, the principal feature of urban rail transit in China car fault diagnosis technology is as follows:
1. be subject to the restriction of technical conditions, between vehicle and ground, the real-time of telecommunication is poor, to process in time etc. on functional realiey in vehicle trouble Incipient Fault Diagnosis, fault and have certain limitation, can not to vehicle mounted failure carry out long-range, process efficiently and accurately.
2. existing urban rail transit vehicles, lacks network monitoring and remote diagnosis integrated system that a set of vehicle-mounted, ground is integrated.
3. failure diagnosis apparatus object is not comprehensive, and also do not reach piths all on detection and diagnosis car, existing diagnostic system is only limitted to simple warning function and emergency operation instruction.Corresponding relation between fault, and the potential faults that may cause, all do not carry out studying and realizing.
4. the fault diagnosis core technology of the existing urban rail transit vehicles of China does not still domesticize.
Summary of the invention
Goal of the invention: the object of the invention is to overcome the deficiencies in the prior art, there is provided a kind of can Real-time Collection urban rail transit vehicles data, to data analysis and fault diagnosis, vehicle remote analysis and feedback system failure message and fault solution being fed back to Vehicular intelligent terminal demonstration, solve existing fault diagnosis system poor real, the problem such as diagnostic accuracy and comprehensive difference.
Technical scheme of the present invention is: a kind of urban rail transit vehicles remote fault analysis and feedback system, this system comprises mobile unit system and ground equipment system two parts, it is characterized in that, described mobile unit system comprises data acquisition module, data transmit-receive module and intelligent display terminal, described data collecting module collected vehicle bus data, ground equipment system is sent to by data transmit-receive module, described mobile unit system acceptance is from the data of ground equipment system, and the failure message received and fault solution are shown at intelligent display terminal,
Described ground equipment system comprises data transmit-receive module, failure analysis module and fault knowledge storehouse, described data transmit-receive module receives the vehicle bus data from mobile unit system, described failure analysis module is to the data analysis received, carry out fault diagnosis by the control loop fault tree between vehicle-mounted instruction element and actuating equipment, and failure message and fault solution are sent to the intelligent display terminal of mobile unit system by feedback method.
Aforesaid urban rail transit vehicles remote fault analysis and feedback system, is characterized in that, the step that described ground equipment system carries out fault diagnosis comprises:
Step 1: the vehicle bus data receiving mobile unit system;
Step 2: judged whether instruction element information, if had, then goes to step 3, otherwise returns step 1;
Step 3: whether actuating equipment corresponding to decision instruction operates accordingly, if so, then returns step 1, otherwise goes to step 4;
Step 4: judgment device whether fault, if so, then goes to step 5, otherwise go to step 6;
Step 5: ground equipment system display failure message, comprises failure cause and abort situation, and intelligent display terminal failure message being sent to mobile unit system shows;
Step 6: judge whether break down at other elements of same fault tree with this equipment, if so, then go to step 5 according to control loop fault tree, otherwise return step 2 and rejudge.
Aforesaid urban rail transit vehicles remote fault analysis and feedback system, is characterized in that, described control loop fault tree is set up according to subsistence logic relation between vehicle-mounted instruction element and actuating equipment, and concrete establishment step comprises:
Step 1: set up the fault logic model between various vehicle-mounted instruction element and actuating equipment according to vehicle electric schematic diagram, and store in a database;
Step 2: the basic components and parts equipment in locomotive system is divided into some sub-key elements, some sub-key elements are turned to overall one by one according to the control loop relation between components and parts again, these entirety are classified, determine affiliated subsystem, again using the major function name of subsystem as top event, and affect the sub-key element of functional realiey accordingly as elementary event, thus set up system failure Tree-structure Model;
Step 3: according to system failure Tree-structure Model certainty annuity fault tree top structure, and by according to " with the or " relation between parton key element, determine the intermediate event of fault tree;
Step 4: by system failure Tree-structure Model with the form of node from top to bottom stored in database, comprise the value of fault tree node, " with or " relation between the value of left child and right child's node and child's node, then directly forms fault tree according to the logical model in database automatically by application system.
Aforesaid urban rail transit vehicles remote fault analysis and feedback system, is characterized in that, described feedback method comprises:
Step 1: the effective workaround that whether there is current failure information in failure judgement knowledge base, if so, goes to step 3, if do not store current failure message in fault knowledge storehouse, or store current failure information, but but can solve current failure without effective method, then go to step 2;
Step 2: operating personnel, by the mode of artificial input, input the effective workaround of current failure;
Step 3: transmission failure message and fault effective workaround, to mobile unit system, show failure message and fault effective workaround by intelligent display terminal.
The beneficial effect that the present invention reaches: energy Real-time Collection urban rail transit vehicles data of the present invention, ground equipment system receives the data from mobile unit, utilize the method for diagnosing faults of control loop fault tree that diagnostic result is fed back to Vehicular intelligent terminal demonstration, realize real-time, accurate, reliable fault diagnosis.
Accompanying drawing explanation
Fig. 1 is the theory diagram of urban rail transit vehicles remote fault analysis of the present invention and feedback system;
Fig. 2 is urban rail transit vehicles remote fault analysis of the present invention and feedback system carry out the method for fault diagnosis schematic flow sheet according to control loop fault tree;
Fig. 3 is the example schematic of the electrical schematic diagram for setting up fault tree between instruction element and actuating equipment of the present invention;
Fig. 4 is the example schematic of control loop fault tree between instruction element of the present invention and actuating equipment;
Fig. 5 is the method flow schematic diagram setting up control loop fault tree between instruction element and actuating equipment of the present invention;
Fig. 6 is the feedback method schematic flow sheet of urban rail transit vehicles remote fault analysis of the present invention and feedback system failure message.
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described.Following examples only for technical scheme of the present invention is clearly described, and can not limit the scope of the invention with this.
As shown in Figure 1, the urban rail transit vehicles remote fault analysis of the embodiment of the present invention and feedback system, this system comprises mobile unit system and ground equipment system two parts.Mobile unit system comprises data acquisition module, data transmit-receive module and intelligent display terminal, and acquisition module collection vehicle bus data, is sent to ground equipment system by data transmit-receive module; Mobile unit system acceptance from the data of ground equipment system, and by the failure message, fault solution and other information that receive at Vehicular intelligent terminal demonstration.Ground equipment system comprises data transmit-receive module, failure analysis module and fault knowledge storehouse, can to receiving data analysis, carry out fault diagnosis by control loop fault tree, and failure message and fault solution are sent to Vehicular intelligent terminal by feedback method.The present invention is by mobile unit system acquisition vehicle data, the data that receive ground equipment system continue to analyze, diagnosed by fault tree and troubleshooting step, and by diagnostic result Real-time Feedback to Vehicular intelligent terminal, the real-time of fault diagnosis, accuracy and reliability can be improved.
Fig. 2 shows vehicle remote fault analysis that the present embodiment provides and feedback system carries out the schematic flow sheet of troubleshooting step according to control loop fault tree, comprising:
Step 1: the data receiving mobile unit system;
Step 2: judged whether instruction element information, if had, then goes to step 3, otherwise returns step 1;
Step 3: whether actuating equipment corresponding to decision instruction operates accordingly, if so, then returns step 1, otherwise goes to step 4;
Step 4: judgment device whether fault, if so, then goes to step 5, otherwise go to step 6;
Step 5: ground equipment system display failure message, comprises failure cause and abort situation, and failure message is sent on vehicle intelligent terminal shows;
Step 6: judge whether break down at other elements of same fault tree with this equipment, if so, then go to step 5 according to control loop fault tree, otherwise return step 2 and rejudge.
Fig. 3 shows the example schematic of the electrical schematic diagram for setting up control loop fault tree between instruction element and actuating equipment that the present embodiment provides, wherein:
DCOS2_R represents " door excision switch ";
DCS2_R represents " door pass location switch ";
EUS2_R represents " the urgent release-push of door ".
The example schematic of fault tree between instruction element and actuating equipment that Fig. 4 shows that the present embodiment provides.
Fig. 5 shows the method flow schematic diagram setting up control loop fault tree between instruction element and actuating equipment that the present embodiment provides, composition graphs 3 and Fig. 4, and control loop Construction of Fault Tree process comprises:
Step 1: set up the fault logic model between various instruction element and actuating equipment according to the electrical schematic diagram of vehicle interior device, and store in a database with certain version; Element relation on same circuit is "AND" (as DCS2_R and EUS2_R in Fig. 3), element on different bar circuit but cause the element relation of identical result to be "or".(as DCS2_R and EUS2_R in Fig. 3 and result and DCOS2_R between be or relation);
Step 2: the basic components and parts equipment in locomotive system is divided into some sub-key elements, some sub-key elements are turned to overall one by one according to the control loop relation between components and parts again, these entirety are classified, determine affiliated subsystem, again using the major function name of subsystem as top event, and affect the sub-key element of functional realiey accordingly as elementary event, thus set up system failure Tree-structure Model, determine elementary event " door excision switch ", " door pass location switch ", " the urgent release-push of door ";
Step 3: according to system failure Tree-structure Model certainty annuity fault tree top structure, and by according to " with the or " relation between parton key element, determine the intermediate event of fault tree;
Concrete, by " with or " relation determination partial top event between elementary event " door district R1 closes and to put in place or locking-excise unsuccessfully ", due to the reason that this partial top event is again functional level top event " car door interlock fault ", therefore it is again as the elementary event being top event with " car door interlock fault "; Again because " car door interlock fault " is one of reason of system-level malfunction " door fault ", therefore it is again as the elementary event of " door fault ";
Step 4: by system failure Tree-structure Model with the form of node from top to bottom stored in database, comprise the value of fault tree node, " with or " relation between the value of left child and right child's node and child's node, then directly forms fault tree according to the logical model in database automatically by application system.
Therefore, according to electrical schematic diagram, by logical relation nested layer by layer, by the element of urban rail transit vehicles inside and equipment composition control loop fault tree, for the fault diagnosis of vehicle remote fault analysis and feedback system.
Fig. 6 shows the feedback method schematic flow sheet of vehicle remote fault analysis that the present embodiment provides and feedback system failure message, comprising:
Step 1: the effective workaround that whether there is current failure information in failure judgement knowledge base, if so, goes to step 3, if do not store current failure message in fault knowledge storehouse, or store current failure information, but but can solve current failure without effective method, then go to step 2;
Concrete, fault knowledge storehouse is the solution about the contingent fault of vehicle and fault according to history data store, if current failure message is recorded in knowledge base, and exist and solve the effective ways of fault, then the fault solution in knowledge base is directly sent to Vehicular intelligent terminal and shows by system.
Step 2: operating personnel, by the mode of artificial input, input the effective workaround of current failure;
Step 3: transmission failure message and fault effective workaround, to mobile unit system, show failure message and fault effective workaround by intelligent terminal.
Although the present invention with preferred embodiment openly as above; but it is not for limiting the present invention; any those skilled in the art without departing from the spirit and scope of the present invention; can make possible variation and amendment, the scope that therefore protection scope of the present invention should define with the claims in the present invention is as the criterion.
Claims (4)
1. a urban rail transit vehicles remote fault analysis and feedback system, this system comprises mobile unit system and ground equipment system two parts, it is characterized in that, described mobile unit system comprises data acquisition module, data transmit-receive module and intelligent display terminal, described data collecting module collected vehicle bus data, ground equipment system is sent to by data transmit-receive module, the failure message received and fault solution from the data of ground equipment system, and show at intelligent display terminal by described mobile unit system acceptance;
Described ground equipment system comprises data transmit-receive module, failure analysis module and fault knowledge storehouse, described data transmit-receive module receives the vehicle bus data from mobile unit system, described failure analysis module is to the data analysis received, carry out fault diagnosis by the control loop fault tree between vehicle-mounted instruction element and actuating equipment, and failure message and fault solution are sent to the intelligent display terminal of mobile unit system by feedback method.
2. urban rail transit vehicles remote fault analysis according to claim 1 and feedback system, is characterized in that, the step that described ground equipment system carries out fault diagnosis comprises:
Step 1: the vehicle bus data receiving mobile unit system;
Step 2: judged whether instruction element information, if had, then goes to step 3, otherwise returns step 1;
Step 3: whether actuating equipment corresponding to decision instruction operates accordingly, if so, then returns step 1, otherwise goes to step 4;
Step 4: judgment device whether fault, if so, then goes to step 5, otherwise go to step 6;
Step 5: ground equipment system display failure message, comprises failure cause and abort situation, and intelligent display terminal failure message being sent to mobile unit system shows;
Step 6: judge whether break down at other elements of same fault tree with this equipment, if so, then go to step 5 according to control loop fault tree, otherwise return step 2 and rejudge.
3. urban rail transit vehicles remote fault analysis according to claim 1 and feedback system, is characterized in that, described control loop fault tree is set up according to subsistence logic relation between vehicle-mounted instruction element and actuating equipment, and concrete establishment step comprises:
Step 1: set up the fault logic model between various vehicle-mounted instruction element and actuating equipment according to vehicle electric schematic diagram, and store in a database;
Step 2: the basic components and parts equipment in locomotive system is divided into some sub-key elements, some sub-key elements are turned to overall one by one according to the control loop relation between components and parts again, these entirety are classified, determine affiliated subsystem, again using the major function name of subsystem as top event, and affect the sub-key element of functional realiey accordingly as elementary event, thus set up system failure Tree-structure Model;
Step 3: according to system failure Tree-structure Model certainty annuity fault tree top structure, and by according to " with the or " relation between parton key element, determine the intermediate event of fault tree;
Step 4: by system failure Tree-structure Model with the form of node from top to bottom stored in database, comprise the value of fault tree node, " with or " relation between the value of left child and right child's node and child's node, then directly forms fault tree according to the logical model in database automatically by application system.
4. urban rail transit vehicles remote fault analysis according to claim 1 and feedback system, is characterized in that, described feedback method comprises:
Step 1: the effective workaround that whether there is current failure information in failure judgement knowledge base, if so, goes to step 3, if do not store current failure message in fault knowledge storehouse, or store current failure information, but but can solve current failure without effective method, then go to step 2;
Step 2: operating personnel, by the mode of artificial input, input the effective workaround of current failure;
Step 3: transmission failure message and fault effective workaround, to mobile unit system, show failure message and fault effective workaround by intelligent display terminal.
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| CN201510557582.8A CN105159283B (en) | 2015-09-02 | 2015-09-02 | Urban rail transit vehicles remote fault analysis and reponse system |
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Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106335523A (en) * | 2016-09-23 | 2017-01-18 | 中车南京浦镇车辆有限公司 | Method for long-distance collection and diagnosis treatment of vehicle-mounted equipment status |
| CN106354118A (en) * | 2016-08-25 | 2017-01-25 | 株洲中车时代电气股份有限公司 | Fault diagnosis system and method for train based on fault tree |
| CN106427975A (en) * | 2016-12-13 | 2017-02-22 | 中车株洲电力机车有限公司 | Failure processing method for rail-train wired electronic-control air braking system |
| CN106774271A (en) * | 2017-01-03 | 2017-05-31 | 中车株洲电力机车有限公司 | A kind of urban rail transit vehicles fault diagnosis and display system |
| WO2018086573A1 (en) * | 2016-11-10 | 2018-05-17 | 中车青岛四方机车车辆股份有限公司 | Method and system for monitoring rail vehicle |
| CN109471748A (en) * | 2018-11-05 | 2019-03-15 | 广州地铁集团有限公司 | A kind of Urban Rail Transit Signal mobile unit Intelligence Diagnosis method and device thereof |
| CN109765448A (en) * | 2019-02-01 | 2019-05-17 | 唐智科技湖南发展有限公司 | A kind of distributed type fault diagnosis method, apparatus and system |
| CN109815054A (en) * | 2019-01-11 | 2019-05-28 | 广州小鹏汽车科技有限公司 | A kind of vehicle entertainment system fault recovery method and device |
| CN110658798A (en) * | 2018-06-29 | 2020-01-07 | 株洲中车时代电气股份有限公司 | Synchronous test system and method for transmission control unit of rail transit vehicle |
| WO2020014872A1 (en) * | 2018-07-17 | 2020-01-23 | 深圳市万华汽车服务投资控股有限公司 | Intelligent method, device and system for fault processing |
| WO2020078137A1 (en) * | 2018-10-19 | 2020-04-23 | 北京全路通信信号研究设计院集团有限公司 | Platform for smart analysis of railway signal system faults |
| CN111145381A (en) * | 2019-05-17 | 2020-05-12 | 深圳市德塔防爆电动汽车有限公司 | Safety state evaluation method of electric vehicle and electric vehicle |
| CN111949000A (en) * | 2019-05-17 | 2020-11-17 | 株洲中车时代电气股份有限公司 | Intelligent locomotive fault diagnosis system and method |
| CN112345276A (en) * | 2020-11-10 | 2021-02-09 | 北京交通大学 | State evaluation and prediction system for key components of medium-speed maglev train |
| CN112744261A (en) * | 2019-10-31 | 2021-05-04 | 株洲中车时代电气股份有限公司 | Rail vehicle fault emergency processing method and system |
| CN113320565A (en) * | 2020-02-28 | 2021-08-31 | 株洲中车时代电气股份有限公司 | Vehicle-mounted real-time fault diagnosis method and device |
| CN114265372A (en) * | 2021-11-01 | 2022-04-01 | 浙江众合科技股份有限公司 | CBTC system real-time fault intelligent diagnosis method and system based on big data |
| CN114358339A (en) * | 2021-12-31 | 2022-04-15 | 卡斯柯信号(郑州)有限公司 | Professional collaborative analysis method for urban rail transit platform door span |
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| CN106354118A (en) * | 2016-08-25 | 2017-01-25 | 株洲中车时代电气股份有限公司 | Fault diagnosis system and method for train based on fault tree |
| CN106354118B (en) * | 2016-08-25 | 2019-08-09 | 株洲中车时代电气股份有限公司 | A kind of train fault diagnostic system and method based on fault tree |
| CN106335523A (en) * | 2016-09-23 | 2017-01-18 | 中车南京浦镇车辆有限公司 | Method for long-distance collection and diagnosis treatment of vehicle-mounted equipment status |
| WO2018086573A1 (en) * | 2016-11-10 | 2018-05-17 | 中车青岛四方机车车辆股份有限公司 | Method and system for monitoring rail vehicle |
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| CN106427975A (en) * | 2016-12-13 | 2017-02-22 | 中车株洲电力机车有限公司 | Failure processing method for rail-train wired electronic-control air braking system |
| CN106427975B (en) * | 2016-12-13 | 2019-02-26 | 中车株洲电力机车有限公司 | A kind of fault handling method of the wired Electronically Controlled Pneumatic Brake Systems of track train |
| CN106774271A (en) * | 2017-01-03 | 2017-05-31 | 中车株洲电力机车有限公司 | A kind of urban rail transit vehicles fault diagnosis and display system |
| CN110658798A (en) * | 2018-06-29 | 2020-01-07 | 株洲中车时代电气股份有限公司 | Synchronous test system and method for transmission control unit of rail transit vehicle |
| WO2020014872A1 (en) * | 2018-07-17 | 2020-01-23 | 深圳市万华汽车服务投资控股有限公司 | Intelligent method, device and system for fault processing |
| WO2020078137A1 (en) * | 2018-10-19 | 2020-04-23 | 北京全路通信信号研究设计院集团有限公司 | Platform for smart analysis of railway signal system faults |
| CN109471748A (en) * | 2018-11-05 | 2019-03-15 | 广州地铁集团有限公司 | A kind of Urban Rail Transit Signal mobile unit Intelligence Diagnosis method and device thereof |
| CN109815054A (en) * | 2019-01-11 | 2019-05-28 | 广州小鹏汽车科技有限公司 | A kind of vehicle entertainment system fault recovery method and device |
| CN109765448B (en) * | 2019-02-01 | 2021-07-13 | 唐智科技湖南发展有限公司 | Distributed fault diagnosis method, device and system |
| CN109765448A (en) * | 2019-02-01 | 2019-05-17 | 唐智科技湖南发展有限公司 | A kind of distributed type fault diagnosis method, apparatus and system |
| CN111145381A (en) * | 2019-05-17 | 2020-05-12 | 深圳市德塔防爆电动汽车有限公司 | Safety state evaluation method of electric vehicle and electric vehicle |
| CN111145381B (en) * | 2019-05-17 | 2020-11-10 | 深圳市德塔防爆电动汽车有限公司 | Safety state evaluation method of electric vehicle and electric vehicle |
| CN111949000A (en) * | 2019-05-17 | 2020-11-17 | 株洲中车时代电气股份有限公司 | Intelligent locomotive fault diagnosis system and method |
| CN112744261A (en) * | 2019-10-31 | 2021-05-04 | 株洲中车时代电气股份有限公司 | Rail vehicle fault emergency processing method and system |
| CN113320565A (en) * | 2020-02-28 | 2021-08-31 | 株洲中车时代电气股份有限公司 | Vehicle-mounted real-time fault diagnosis method and device |
| CN112345276A (en) * | 2020-11-10 | 2021-02-09 | 北京交通大学 | State evaluation and prediction system for key components of medium-speed maglev train |
| CN112345276B (en) * | 2020-11-10 | 2022-03-15 | 北京交通大学 | State evaluation and prediction system for key components of medium-speed maglev train |
| CN114265372A (en) * | 2021-11-01 | 2022-04-01 | 浙江众合科技股份有限公司 | CBTC system real-time fault intelligent diagnosis method and system based on big data |
| CN114358339A (en) * | 2021-12-31 | 2022-04-15 | 卡斯柯信号(郑州)有限公司 | Professional collaborative analysis method for urban rail transit platform door span |
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