CN202372811U - Electromechanical-hydraulic hybrid equipment real-time fault diagnosis device based on data mining algorithm - Google Patents
Electromechanical-hydraulic hybrid equipment real-time fault diagnosis device based on data mining algorithm Download PDFInfo
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- CN202372811U CN202372811U CN201120549078.0U CN201120549078U CN202372811U CN 202372811 U CN202372811 U CN 202372811U CN 201120549078 U CN201120549078 U CN 201120549078U CN 202372811 U CN202372811 U CN 202372811U
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- 238000007418 data mining Methods 0.000 title claims abstract description 25
- 238000003745 diagnosis Methods 0.000 title claims abstract description 22
- 238000006073 displacement reaction Methods 0.000 claims abstract description 13
- 238000000605 extraction Methods 0.000 claims abstract description 13
- 239000000523 sample Substances 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 abstract 3
- 238000000034 method Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000002939 deleterious effect Effects 0.000 description 1
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
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Abstract
The utility model relates to an electromechanical-hydraulic hybrid equipment real-time fault diagnosis device based on a data mining algorithm. The electromechanical-hydraulic hybrid equipment real-time fault diagnosis device consists of electromechanical-hydraulic hybrid equipment, a revolution sensor, a displacement sensor, a pressure sensor, a sound sensor, a vibration sensor, a data acquisition card, a display, a keyboard, a network card, a server, an online fault diagnosis and analysis system, a data mining rule extraction system and a data preprocessing system, wherein the electromechanical-hydraulic hybrid equipment is respectively connected with the revolution sensor, the displacement sensor, the pressure sensor, the sound sensor and the vibration sensor, and then revolution sensor, the displacement sensor, the pressure sensor, the sound sensor and the vibration sensor are respectively connected with the data acquisition card and the server; the server is connected with the data preprocessing system, then the data preprocessing system is connected with the data mining rule extraction system and finally the data mining rule extraction system is connected with the online fault diagnosis and analysis system; and the server is respectively connected with the display and the network card. The electromechanical-hydraulic hybrid equipment real-time fault diagnosis device based on the data mining algorithm has the advantages that the rapid and real-time fault diagnosis is realized, the information useful for system identification is reserved, the interference information is eliminated and the state recognition accuracy and the fault diagnosis accuracy are high.
Description
Technical field: the utility model relates to a kind of mechanical electronic hydraulic mixing apparatus real time fail diagnostic device based on data mining algorithm.
Background technology: at present, existing large-scale mechanical electronic hydraulic mixing apparatus method for diagnosing faults mainly is expert system and intelligent diagnosing method, the expert system fault diagnosis need system through self study to obtain a large amount of knowledge; Fault judgement just can be tending towards accurately, and the knowledge bottleneck of system can bring very big uncertainty to fault diagnosis, and the thought process that the intelligent trouble diagnosis system needs the anthropomorphic dummy is through judging and reasoning obtains the fault conclusion; The problem of reasoning process difficulty is not well solved so far yet, and in addition, the existing fault diagnostic system also exists the data of magnanimity are carried out Treatment Analysis; Get rid of noise; Fault-tolerance is relatively poor, and the data processing work amount is big, wastes time and energy; Be difficult to obtain useful information in real time, to the ageing deleterious impact of fault diagnosis.
Summary of the invention: the purpose of the utility model is to overcome above-mentioned shortcoming; A kind of mechanical electronic hydraulic mixing apparatus real time fail diagnostic device based on data mining algorithm is provided; It has mainly solved existing large-scale mechanical electronic hydraulic mixing apparatus method for diagnosing faults mainly is expert system and intelligent diagnosing method; Can bring very big uncertainty to fault diagnosis, the data processing of magnanimity and analytical work amount are big, are difficult to obtain in real time problems such as useful information.The purpose of the utility model be achieved in that based on the mechanical electronic hydraulic mixing apparatus real time fail diagnostic device of data mining algorithm by: mechanical electronic hydraulic mixing apparatus, tachometer generator, displacement transducer, pressure transducer, sound transducer, vibration transducer, data collecting card, display, keyboard, network interface card, server, on-line fault diagnosis analytic system, data mining Rule Extraction system, data pretreatment constitute.The mechanical electronic hydraulic mixing apparatus is connected with speed probe, displacement transducer, pressure transducer, sound transducer, vibration transducer respectively; Speed probe, displacement transducer, pressure transducer, sound transducer, vibration transducer are connected with data collecting card respectively; Data collecting card is connected with server; Server is connected with data pretreatment, and data pretreatment is connected with data mining Rule Extraction system, and data mining Rule Extraction system is connected with the on-line fault diagnosis analytic system; Server is connected with display, network interface card respectively, and keyboard is connected with server.This product is that the maintenance data digging technology extracts knowledge or rule automatically real-time by computing machine from the data that produce; And utilize the knowledge that obtains to imminent Fault Estimation prediction or according to the diagnosing malfunction of acquired knowledge to having taken place, have the advantage of quick real-time, because data are carried out noise reduction and pre-service; Kept the System Discrimination Useful Information; Simultaneously got rid of interfere information to greatest extent, made state recognition and diagnosis increase accuracy, this diagnostic method not only can be diagnosed general fault; And to potential faults, the diagnosis of complex fault and fault coupling has good effect equally.
Description of drawings:
Accompanying drawing is the structural representation of the utility model based on the mechanical electronic hydraulic mixing apparatus real time fail diagnostic device of data mining algorithm.
1-mechanical electronic hydraulic mixing apparatus 2-tachometer generator 3-displacement transducer
4-pressure transducer 5-sound transducer 6-vibration transducer
7-data collecting card 8-display 9-keyboard 10-network interface card
11-server 12-on-line fault diagnosis analytic system
The 13-data mining Rule Extraction 14-of system data pretreatment
Embodiment: specify the most preferred embodiment of the utility model below in conjunction with accompanying drawing, based on the mechanical electronic hydraulic mixing apparatus real time fail diagnostic device of data mining algorithm by: mechanical electronic hydraulic mixing apparatus 1, tachometer generator 2, displacement transducer 3, pressure transducer 4, sound transducer 5, vibration transducer 6, data collecting card 7, display 8, keyboard 9, network interface card 10, server 11, on-line fault diagnosis analytic system 12, data mining Rule Extraction system 13, data pretreatment 14 constitute.Mechanical electronic hydraulic mixing apparatus 1 is connected with speed probe 2, displacement transducer 3, pressure transducer 4, sound transducer 5, vibration transducer 6 respectively; Speed probe 2, displacement transducer 3, pressure transducer 4, sound transducer 5, vibration transducer 6 are connected with data collecting card 7 respectively; Data collecting card 7 is connected with server 11; Server 11 is connected with data pretreatment 14 respectively; Data pretreatment 14 is connected with data mining Rule Extraction system 13; Data mining Rule Extraction system 3 is connected with on-line fault diagnosis analytic system 12, and server 11 is connected with display 8, network interface card 10 respectively, and keyboard 9 is connected with server 11.
Claims (3)
1. mechanical electronic hydraulic mixing apparatus real time fail diagnostic device based on data mining algorithm; It is made up of: mechanical electronic hydraulic mixing apparatus (1), tachometer generator (2), displacement transducer (3), pressure transducer (4), sound transducer (5), vibration transducer (6), data collecting card (7), display (8), keyboard (9), network interface card (10), server (11), on-line fault diagnosis analytic system (12), data mining Rule Extraction system (13), data pretreatment (14); It is characterized in that: mechanical electronic hydraulic mixing apparatus (1) is connected with speed probe (2), displacement transducer (3), pressure transducer (4), sound transducer (5), vibration transducer (6) respectively; Speed probe (2), displacement transducer (3), pressure transducer (4), sound transducer (5), vibration transducer (6) are connected with data collecting card (7) respectively, and data collecting card (7) is connected with server (11).
2. the mechanical electronic hydraulic mixing apparatus real time fail diagnostic device based on data mining algorithm according to claim 1; It is characterized in that: server (11) is connected with data pretreatment (14); Data pretreatment (14) is connected with data mining Rule Extraction system (13), and data mining Rule Extraction system (13) is connected with on-line fault diagnosis analytic system (12).
3. the mechanical electronic hydraulic mixing apparatus real time fail diagnostic device based on data mining algorithm according to claim 1, it is characterized in that: server (11) is connected with display (8), network interface card (10) respectively, and keyboard (9) is connected with server (11).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201120549078.0U CN202372811U (en) | 2011-12-23 | 2011-12-23 | Electromechanical-hydraulic hybrid equipment real-time fault diagnosis device based on data mining algorithm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201120549078.0U CN202372811U (en) | 2011-12-23 | 2011-12-23 | Electromechanical-hydraulic hybrid equipment real-time fault diagnosis device based on data mining algorithm |
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| Publication Number | Publication Date |
|---|---|
| CN202372811U true CN202372811U (en) | 2012-08-08 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201120549078.0U Expired - Fee Related CN202372811U (en) | 2011-12-23 | 2011-12-23 | Electromechanical-hydraulic hybrid equipment real-time fault diagnosis device based on data mining algorithm |
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| CN (1) | CN202372811U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102929236A (en) * | 2012-10-26 | 2013-02-13 | 北京机械设备研究所 | Display device applicable to distributed electro hydraulic servo system |
| CN107966176A (en) * | 2017-11-14 | 2018-04-27 | 成都才智圣有科技有限责任公司 | Mechanical electronic hydraulic mixing apparatus real time fault diagnosis device based on data mining algorithm |
-
2011
- 2011-12-23 CN CN201120549078.0U patent/CN202372811U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102929236A (en) * | 2012-10-26 | 2013-02-13 | 北京机械设备研究所 | Display device applicable to distributed electro hydraulic servo system |
| CN107966176A (en) * | 2017-11-14 | 2018-04-27 | 成都才智圣有科技有限责任公司 | Mechanical electronic hydraulic mixing apparatus real time fault diagnosis device based on data mining algorithm |
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| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120808 Termination date: 20121223 |