CN204591576U - The Adaptive System of Water-Turbine Engine of health status prediction can be realized - Google Patents
The Adaptive System of Water-Turbine Engine of health status prediction can be realized Download PDFInfo
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- CN204591576U CN204591576U CN201520206891.6U CN201520206891U CN204591576U CN 204591576 U CN204591576 U CN 204591576U CN 201520206891 U CN201520206891 U CN 201520206891U CN 204591576 U CN204591576 U CN 204591576U
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The utility model relates to a kind of Adaptive System of Water-Turbine Engine that can realize health status prediction, this system comprises hydrogovernor electric control system and hydrogovernor machinery hydraulic system, it is characterized in that: also comprise the first oil leakage sensor for detecting described hydrogovernor machinery hydraulic system, described first oil leakage sensor is connected with described hydrogovernor electric control system; The signal that described hydrogovernor electric control system detects according to the first oil leakage sensor realizes intelligent diagnostics and the health status prediction of Adaptive System of Water-Turbine Engine by multisource information fusion technology, and diagnosis and prediction data are transferred to long distance control system.The utility model can pass through various sensor and detection facility, utilizes multisource information fusion technology to realize intelligent diagnostics and the health status prediction of Adaptive System of Water-Turbine Engine.
Description
Technical field
The utility model relates to Adaptive System of Water-Turbine Engine, refer to a kind of Adaptive System of Water-Turbine Engine that can realize health status prediction particularly, for the automatic control of the various turbine-generator units in intelligent water power plant and the health status prediction of regulating system, meet the control overflow in intelligent grid and intelligent water power station.
Background technique
Under global financial crisis and Global climate change, Renewable Energy Development is all used as the important measures of revitalizing the economy in countries in the world, and China is also like this.Water power is exactly the renewable and clean energy resource of various countries' preferential development.China's hydroelectric resources reserves the first in the world, mainly be enriched in great rivers, need adopt Large Hydropower Station ability effective exploitation, the accessorys such as the water turbine of million kilowatt Hydropower Unit and speed governing, excitation, generator and design of system integration technology thereof are listed in country's " major technologies and equipment autonomous innovation guidance list " as clean and effective power generating equipment and technology.Simultaneously, country proposes to build strong intelligent grid, to meet the reliable access of the multiple renewable energy sources such as water power, wind-powered electricity generation, solar energy, tidal energy, the construction in intelligent water power plant has started pilot, and this just has higher requirement to the accessory regulating system as water turbine.
The hydrogovernor being applied to water power plant at present greatly can reliable operation, meets the existing demand in power station, but for the construction in following intelligent water power station, also has the following disadvantages:
1) equipment fault diagnosis is only limitted to hydrogovernor itself;
2) equipment health status is not predicted.The requirement of " unattended " will be accomplished in following intelligent water power plant, must have at fingertips to equipment health status;
3) inadequate to the means of equipment fault diagnosis, be only limitted to PLC and the limited analysis ability of operating terminal is difficult to do comprehensive comprehensively analysis and location to the fault of regulating system;
4) existing maintenance mode remains periodic maintenance and correction maintenance, fails to accomplish pre-emptive maintenace.
Summary of the invention
The utility model object is to overcome above-mentioned the deficiencies in the prior art and provides a kind of Adaptive System of Water-Turbine Engine that can realize health status prediction, this system is by various sensor and detection facility, multisource information fusion technology is utilized to realize intelligent diagnostics and the health status prediction of Adaptive System of Water-Turbine Engine, simultaneously, itself and controlling functions are integrated in Adaptive System of Water-Turbine Engine, improve level of integrated system, save hardware resource.More reliable and predictable Adaptive System of Water-Turbine Engine is provided for intelligent water power plant realizes " unattended (few man on duty) ".
The technological scheme realizing the employing of the utility model object is a kind of Adaptive System of Water-Turbine Engine that can realize health status prediction, this system comprises hydrogovernor electric control system and hydrogovernor machinery hydraulic system, it is characterized in that: also comprise the first oil leakage sensor for detecting described hydrogovernor machinery hydraulic system, described first oil leakage sensor is connected with described hydrogovernor electric control system; The signal that described hydrogovernor electric control system detects according to the first oil leakage sensor realizes intelligent diagnostics and the health status prediction of Adaptive System of Water-Turbine Engine by multisource information fusion technology, and diagnosis and prediction data are transferred to long distance control system.
Further, also comprise the first oil pump output flow sensor, the first oil pressure sensor, pressurized tank liquid level sensor, oil sump tank liquid level sensor, the first oil quality sensor for detecting oil gear state signal, and detect the first detection device of Oil pump electrical machinery in oil gear control cabinet; Described first oil pump output flow sensor, the first oil pressure sensor, pressurized tank liquid level sensor, oil sump tank liquid level sensor, oil quality sensor are connected with described hydrogovernor electric control system respectively with the first detection device.
Further, the described Adaptive System of Water-Turbine Engine that can realize health status prediction also comprises liquid level sensor, the second oil quality sensor and the second oil pump output flow sensor for detecting leak oil tank state signal, and detecting the second detection device of Oil pump electrical machinery in leak oil tank control cabinet, described liquid level sensor, the second oil quality sensor, the second oil pump output flow sensor are connected with described hydrogovernor electric control system respectively with second detection device.
Further, the described Adaptive System of Water-Turbine Engine that can realize health status prediction also comprises the 3rd oil leakage sensor for detecting emergency distributing valve and detects the second oil pressure sensor of spool action, and described 3rd oil leakage sensor is connected with described hydrogovernor electric control system respectively with the second oil pressure sensor.
Further, the described Adaptive System of Water-Turbine Engine that can realize health status prediction also comprises the 4th oil leakage sensor for detecting subsection and closed device and the 3rd oil pressure sensor for detecting subsection and closed device actuating signal, and described 4th oil leakage sensor is connected with described hydrogovernor electric control system respectively with the 3rd oil pressure sensor.
Further, the described Adaptive System of Water-Turbine Engine that can realize health status prediction also comprises open and close cavity pressure sensor for detecting servomotor and servomotor displacement transducer, and described open and close cavity pressure sensor is connected with described hydrogovernor electric control system respectively with servomotor displacement transducer.
Further, the described Adaptive System of Water-Turbine Engine that can realize health status prediction also comprises power transducer, unit PT, generating unit speed probe and volute pressure sensor for detecting turbine-generator units, and described power transducer, unit PT, generating unit speed probe is connected with described hydrogovernor electric control system respectively with volute pressure sensor.
In technique scheme, described hydrogovernor machinery hydraulic system is also provided with the second oil leakage sensor, and described second, third is connected with leak oil tank with the 4th oil leakage sensor.
Adaptive System of Water-Turbine Engine of the present utility model is compared conventional hydrogovernor tool and is had the following advantages:
(1) status monitoring scope is wider.Except the conventional sense of conventional hydrogovernor body, also add the coherent detection of body hydraulic leak detection, oil gear and the parts such as leak oil tank and control system, emergency distributing valve, sequence closing, servomotor and turbine-generator units;
(2) achieve intelligent diagnostics, fault localization is more accurate, and particularly some soft faults, as the diagnosis of the faults such as servomotor twitch, oil pump frequent starting.
(3) fault diagnosis scope is wider.Along with widening of status monitoring scope, the scope of fault diagnosis is also widened thereupon, and is not limited only to traditional hydrogovernor.
(4) achieve the health status prediction of each critical component of Adaptive System of Water-Turbine Engine, promote that system overhaul mode is by periodic maintenance and correction maintenance, turns to pre-emptive maintenace.
(5) reliability is higher, is had at fingertips to equipment health status in intelligent water power plant, is conducive to realizing " unattended (few man on duty) ".
(6) hardware configuration is higher, and available resource is more, is conducive to the fusion of multi-source information, analysis.
Accompanying drawing explanation
Fig. 1 is the structured flowchart that the utility model can realize the Adaptive System of Water-Turbine Engine of health status prediction.
Fig. 2 is the structured flowchart of hydrogovernor electric control system.
Fig. 3 is the structured flowchart of hydrogovernor machinery hydraulic system.
Fig. 4 is the structured flowchart of oil gear system.
Fig. 5 is the structured flowchart of leak oil tank system.
Fig. 6 is the flow chart that the utility model hydrogovernor machinery hydraulic system carries out health status Forecasting Methodology.
Fig. 7 is multi-source sensor information fusion mode schematic diagram, wherein, a) is data Layer amalgamation mode, b) is Feature-level fusion mode, c) is Decision-level fusion mode.
Fig. 8 is the integrated diagnosis model schematic of band confidence coefficient.
Fig. 9 is the major error tree structure diagram of Adaptive System of Water-Turbine Engine status predication.
Figure 10 is the reduced tree structure figure of Adaptive System of Water-Turbine Engine status predication.
Embodiment
Below in conjunction with the drawings and specific embodiments, the utility model is described in further detail.
As shown in Figure 1, the utility model can realize health status prediction Adaptive System of Water-Turbine Engine comprise: hydrogovernor electric control system, hydrogovernor machinery hydraulic system, emergency distributing valve, subsection and closed device, servomotor, oil gear system and leak fuel system.
This working procedure that can realize the Adaptive System of Water-Turbine Engine of health status prediction is as follows:
Hydrogovernor electric control system accepts the long-range and various instruction in this locality; control the pressure oil that hydrogovernor machinery hydraulic system exports different flow and direction; by entering the open and close machine chamber of servomotor after emergency distributing valve and subsection and closed device again; open by controlling servomotor or close guide vanes of water turbine (or nozzle needle, blade), realizing the start of water turbine, shut down, generate electricity by way of merging two or more grid systems and the function such as frequency modulation, phase modulation.Wherein, emergency distributing valve is shut down for the accident protection realizing unit, and subsection and closed device is used for realizing the sequence closing rule of servomotor, and oil gear system provides pressure oil-source for Adaptive System of Water-Turbine Engine, and leak oil tank is used for reclaiming system leakage of oil.
Above Each part and function are respectively described below:
The utility model hydrogovernor electric control system used can adopt A, B two to overlap controller, hot backup redundancy each other, and switching time is less than 30US, switches undisturbed; Also a set of controller can be adopted.The present embodiment adopts the hydrogovernor electric control system of a set of controller, structure as shown in Figure 2, comprise power module, CPU module (containing communication module), switching input module, switching value output module, Analog input mModule, analog output module and process control machine, CPU module connects process control machine, remote monitoring system and other control cabinets, the news that work of going forward side by side.
The present embodiment electric control system used accepts various instruction and quantity of state, as start, shut down, phase modulation, grid-connected, primary frequency modulation, load increase and decrease order etc., also can accept various data, as power given, head, electrically open limit etc., the sampled value of control system and feedback states amount then obtain from each Equipment Inspection sensor, as servomotor feedback and two cavity pressures, machine class frequency, system frequency, unit is gained merit, volute pressure, master joins tripping signal, emergency shutdown action signal, sequence closing and emergency distributing valve actuating signal, each equipment oil leakage amount, oil pump output flow, the detection limit etc. of oil gear and leak oil tank and control system thereof, control system calculates and Logic judgment according to the PID under various operating mode, control machinery hydraulic system and drive servomotor, thus control unit completes start, shut down, generate electricity by way of merging two or more grid systems and frequency modulation, the controlling functions such as phase modulation.
While stating controlling functions in realization, process control machine and CPU module communication, the various information collected by abundant application controls system, realize intelligent diagnostics and the health status prediction of Adaptive System of Water-Turbine Engine by multisource information fusion technology.This system also realizes same function by the process control machine of remote monitoring system with CPU module communication.
Compare traditional speed regulator, this system not only achieves the controlling functions of speed regulator, also achieve intelligent diagnostics and the health status prediction of whole Adaptive System of Water-Turbine Engine, comprise the equipment such as hydrogovernor, oil gear, leak oil tank, servomotor, sequence closing and emergency distributing valve, the health status of water power plant to each equipment of whole Adaptive System of Water-Turbine Engine and parts is had at fingertips, is conducive to the intelligentized control method and " unattended (few man on duty) " that realize water power plant.
The structure of the utility model hydrogovernor machinery hydraulic system used as shown in Figure 3, comprise electro-control converter or motor converter, hydraulic pressure enlarger, for by the Displacement Feedback of hydraulic pressure enlarger to the displacement transducer of electric control system, and the first oil leakage sensor be connected with oil sump tank in oil gear respectively and the second oil leakage sensor be connected with leak oil tank.
Wherein, electro-control converter or motor converter accept the electrical signal that hydrogovernor electric control system exports, convert the electrical signal to hydraulic pressure signal or mechanical displacement signal, thus hydraulic control enlarger export band direction, through the hydraulic oil of Flow amplification, uninterrupted and electrical signal meet certain function relation, and this is consistent with the control law of electric control system.Hydraulic pressure enlarger has Displacement Feedback to electric control system, for realizing the stability contorting of hydraulic flow.This Displacement Feedback is according to the difference of hydraulic pressure enlarger, and the position of installation is also different, and what have is connected with hydraulic pressure enlarger, and what have is connected with electro-control converter or motor converter.Hydraulic pressure enlarger also has an actuating signal feedback, for detecting its tripping signal.
The present embodiment adopts two oil leakage sensors, and one of them is connected with oil gear oil sump tank, for detecting hydraulic pressure enlarger main valve leakage of oil amount; Another is connected with leak oil tank, and for detecting hydraulic pressure enlarger control section leakage of oil amount, these two oil leakage sensors are for diagnosing and predict the abrasion condition of hydraulic system.
The utility model used oil pressure device system comprises oil gear control cabinet, motor starter, motor, oil pump, combination brake switch and proporting, flow transducer, pressure oil tank, oil sump tank, pressure transducer, oil sump tank liquid level sensor and oil quality sensor.According to the size of oil gear, the quantity of motor starter, motor, oil pump, combination brake switch and proporting, flow transducer is had nothing in common with each other, and the present embodiment is used is two, as shown in Figure 4, if when pressure oil tank volume is very large, also can arrange 2 pressure oil tanks, corresponding number of sensors also can change.
Oil gear system is a kind of energy storage apparatus, for providing pressure oil-source for Adaptive System of Water-Turbine Engine.Wherein, oil gear control cabinet is respectively by pressure, the liquid level of oil pressure sensor and pressurized tank liquid level sensor detected pressures oil tank, and the liquid level of oil sump tank is detected by oil sump tank liquid level sensor, motor starter opens, have a power failure motivation in control, thus drive oil pump to buy oil to pressure oil tank, the pressure of pressure oil tank and liquid level is made to maintain rated operating value scope, combination brake switch and proporting is in unloaded state when pump start, motor is made to be in No Load Start operating mode, after a few second, feather valve cuts out, and oil pump starts to buy oil to pressure oil tank; If when oil pressure exceedes the setting value of pressure of relief valve, relief valve is opened, start pressure release, to ensure that combination brake switch and proporting is operated within the scope of safety pressure.Whether oil pump output flow sensor leaks for combination brake switch and proporting after detecting oil pump oil transportation amount and oil pump and shutting down.Whether oil quality sensor meets service condition for detecting oil.2 cover oil pump fuel transfer systems are had in Fig. 4, for subsequent use each other, to ensure the reliably working of pressure oil-source.
Various detecting sensors in oil gear system are except input oil gear control cabinet, also can be transported to hydrogovernor electric control system, for diagnosing and predict the health status of each parts of oil gear and oil, in addition, hydrogovernor electric control system also can with the communication of oil gear control cabinet, obtain the relevant information of Oil pump electrical machinery and control system thereof, improve the reliability of diagnosis and prediction.
The utility model leak oil tank system architecture used as shown in Figure 5, comprises leak oil tank control cabinet, motor starter, motor, oil pump, safety valve, one-way valve, flow transducer, leak oil tank, liquid level sensor and oil quality detection sensor etc.Leak oil tank control cabinet, motor starter, motor, oil pump, safety valve, one-way valve, oil pump output flow sensor connect successively.
According to the size of leak oil tank, the quantity of motor starter, motor, oil pump, safety valve, one-way valve, flow transducer is had nothing in common with each other, and the present embodiment is used is one, as shown in Figure 5.
Leak oil tank is for collecting the leakage of oil of each equipment of Adaptive System of Water-Turbine Engine.According to the oil level control that leak oil tank liquid level sensor records, motor starter opens leak oil tank control cabinet, have a power failure motivation, thus drives oil pump that leakage of oil is outputted to oil gear oil sump tank.When oil pressure reaches certain setting valve, safety valve is opened automatically, and unloading oil pressure, ensures security of system.When oil pump is shut down, one-way valve can prevent the oil of oil gear oil sump tank from refunding to leak oil tank.Whether oil pump output flow sensor leaks for one-way valve after detecting oil pump oil transportation amount and oil pump and shutting down.Whether oil quality sensor meets service condition for detecting oil.
The various detecting sensors of leak oil tank are except input leak oil tank control cabinet, also can be transported to hydrogovernor electric control system, for diagnosing and predict the health status of each parts of leak oil tank and oil, in addition, hydrogovernor electric control system also can with the communication of leak oil tank control cabinet, obtain the relevant information of Oil pump electrical machinery and control system thereof, improve the reliability of diagnosis and prediction.
The methods such as the classification in the utility model Adaptive System of Water-Turbine Engine health status diagnosis and prediction method employing data mining, cluster, integrated study, confidence output and information fusion, from the Monitoring Data of higher-dimension, isomery, strong noise, fault analysis and judgement reason, and the health status of system is made prediction, provide scientific and reasonable treatment Countermeasures simultaneously, as shown in Figure 6, specific operation are as follows:
1, data prediction
(1) data integration
Because the mode obtaining data in observation process is different, data may be stored by different carriers, as text, MSExcel electrical form, MSAccess database, oracle database, MySQL database etc.For ease of subsequent analysis, need these data from different pieces of information source to integrate.Such as all data are all integrated in MySQL database, utilize MySQL to set up data warehouse.
(2) data transfer
The all parameter informations relevant to a certain parts (as main control valve, oil pump etc.) are integrated into a record.
(3) data scrubbing
Data scrubbing by filling in vacancy value, smooth noise data, identification, deletion isolated point, and solves " inconsistent " to clear up data, thus strengthens the quality of data mining results.
2, multisource data fusion
Adopt the data fusion method based on different levels, multi-source, heterogeneous sensor information are merged, improve diagnosis validity and stability.
Standardization and normalization are directly carried out to the signal such as pressure, flow that sensor records, for oscillating signal (speed, amplitude, acceleration etc.), intend adopting the method such as wavelet package transforms, Fourier transformation that time serial message is converted to frequency domain information, then carry out standardization.
Above-mentioned various types of signal is merged from many levels such as data Layer, characteristic layer, decision-making level'ss (as shown in Figure 7), improves degree of accuracy and the stability of fault diagnosis model.
3, fault signature is selected
Exist between water turbine adjusting system fault and transducing signal and show or the complex relationship of implicit expression, the signal that can characterize fault is picked out from numerous signals, the complexity of model can be reduced, improve the predictablity rate of model, and accurate localizing faults Producing reason.Meanwhile, the data results being easy to analyzed researcher and user's understanding is obtained.
4, model of mind builds
Due to the crucial control apparatus that Adaptive System of Water-Turbine Engine is water turbine, it breaks down and often causes serious potential safety hazard and economic loss.And certain fault signature of regulating system may caused by many reasons, the consequence that often kind of reason causes is not quite similar again, therefore adopts the integrated learning approach of band confidence coefficient to build diagnostic model here, as shown in Figure 8.
In the training stage, build a diagnostic model respectively for often kind of fault, at test phase, the Output rusults of comprehensive various model, by the size of its confidence coefficient, provides comprehensive predicting the outcome.
Adopt the method such as support vector machine (PosterioriProbabilitySupportVectorMachinesPPSVM), Bayesian study, decision tree of posterior probability as meta classifier, utilize the method for integrated study to build accurate, healthy and strong forecasting model.
Fault tree is then adopted to build model, to improve the degree of accuracy of fault localization further to the fault diagnosis that reason is determined.As shown in Figure 9, Adaptive System of Water-Turbine Engine health status prediction top event is: Adaptive System of Water-Turbine Engine state health status is predicted; Then three subsystems are respectively below: electric adjuster status predication, electrohydraulic servo system status predication, oil gear partial status are predicted; Thus constitute the major error tree of Adaptive System of Water-Turbine Engine status predication.Proceed fault tree and go deep into step analysis, respective major error tree and respective fault subtree can be obtained.Electric adjuster status predication is mainly predicted the health status of hydrogovernor electric control system, electrohydraulic servo system status predication is mainly predicted the health status of the equipment such as hydrogovernor machinery hydraulic system, emergency distributing valve, sequence closing, servomotor, and the prediction of oil gear partial status is mainly predicted the health status of the equipment such as oil gear and leak oil tank.
According to the qualitative analysis of set up fault tree and fault tree, due to fault Tree bottom event, intermediate event and top event be all by or door be connected, bottom event is separate simultaneously, so the bottom event of each fault tree is the minimal cut set of Adaptive System of Water-Turbine Engine: N
1, N
2, N
3...., N
x, (x determines according to the concrete configuration of Adaptive System of Water-Turbine Engine), according to the equivalence of fault tree and simplification principle, can obtain the Predigesting tree of Adaptive System of Water-Turbine Engine status predication system as shown in Figure 10.
5, anomaly parameter detects
By carrying out abnormality detection to the parameter in Monitoring Data, the exceptional value of parameter can be found rapidly.The following three kinds of detecting methods of concrete employing:
(1) based on the technology of model: based on existing data construct model, when regulating system is abnormal, the data of the exception of generation can seem incompatible with usually in a model.
(2) based on the technology of proximity: utilize the proximity between prior art (such as: Euclidean distance, cosine similarity, Jacard index, Pearson correlation coefficients etc.) definition data or similarity.Abnormal data can be distant from most of data.
(3) technology of density based: utilize above-mentioned similarity or distance, estimates the density of all data points in space, and those data points being in density regions are exactly so-called abnormal data.
Claims (8)
1. one kind can realize the Adaptive System of Water-Turbine Engine of health status prediction, comprise hydrogovernor electric control system and hydrogovernor machinery hydraulic system, it is characterized in that: also comprise the first oil leakage sensor for detecting described hydrogovernor machinery hydraulic system, described first oil leakage sensor is connected with described hydrogovernor electric control system; The signal that described hydrogovernor electric control system detects according to the first oil leakage sensor realizes intelligent diagnostics and the health status prediction of Adaptive System of Water-Turbine Engine by multisource information fusion technology, and diagnosis and prediction data are transferred to long distance control system.
2. can realize the Adaptive System of Water-Turbine Engine of health status prediction according to claim 1, it is characterized in that: also comprise the first oil pump output flow sensor, the first oil pressure sensor, pressurized tank liquid level sensor, oil sump tank liquid level sensor, the first oil quality sensor for detecting oil gear state signal, and detect the first detection device of Oil pump electrical machinery in oil gear control cabinet; Described first oil pump output flow sensor, the first oil pressure sensor, pressurized tank liquid level sensor, oil sump tank liquid level sensor, oil quality sensor are connected with described hydrogovernor electric control system respectively with the first detection device.
3. can realize the Adaptive System of Water-Turbine Engine of health status prediction according to claim 2, it is characterized in that: also comprise the liquid level sensor for detecting leak oil tank state signal, the second oil quality sensor and the second oil pump output flow sensor, and detecting the second detection device of Oil pump electrical machinery in leak oil tank control cabinet, described liquid level sensor, the second oil quality sensor, the second oil pump output flow sensor are connected with described hydrogovernor electric control system respectively with second detection device.
4. can realize the Adaptive System of Water-Turbine Engine of health status prediction according to claim 3, it is characterized in that: also comprise the 3rd oil leakage sensor for detecting emergency distributing valve and the second oil pressure sensor detecting spool action, described 3rd oil leakage sensor is connected with described hydrogovernor electric control system respectively with the second oil pressure sensor.
5. can realize the Adaptive System of Water-Turbine Engine of health status prediction according to claim 4, it is characterized in that: also comprise the 4th oil leakage sensor for detecting subsection and closed device and the 3rd oil pressure sensor for detecting subsection and closed device actuating signal, described 4th oil leakage sensor is connected with described hydrogovernor electric control system respectively with the 3rd oil pressure sensor.
6. can realize the Adaptive System of Water-Turbine Engine of health status prediction according to claim 5, it is characterized in that: also comprise the open and close cavity pressure sensor for detecting servomotor and servomotor displacement transducer, described open and close cavity pressure sensor is connected with described hydrogovernor electric control system respectively with servomotor displacement transducer.
7. can realize the Adaptive System of Water-Turbine Engine of health status prediction according to claim 6, it is characterized in that: also comprise the power transducer for detecting turbine-generator units, unit PT, generating unit speed probe and volute pressure sensor, described power transducer, unit PT, generating unit speed probe is connected with described hydrogovernor electric control system respectively with volute pressure sensor.
8. can realize the Adaptive System of Water-Turbine Engine of health status prediction according to claim 7, it is characterized in that: described hydrogovernor machinery hydraulic system is also provided with the second oil leakage sensor, described second, third is connected with leak oil tank with the 4th oil leakage sensor.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104791187A (en) * | 2015-04-08 | 2015-07-22 | 武汉四创自动控制技术有限责任公司 | Water-turbine adjustment system and method capable of forecasting health status |
| CN106089564A (en) * | 2016-06-17 | 2016-11-09 | 龙滩水电开发有限公司龙滩水力发电厂 | A kind of unit failure low oil pressure startup accident Row control loop reliably |
| CN109630346A (en) * | 2018-12-17 | 2019-04-16 | 四川茂龙发电设备制造有限公司 | Turbine Governor System |
| CN112963297A (en) * | 2021-02-09 | 2021-06-15 | 中国长江电力股份有限公司 | Hydraulic control system for speed regulator of water turbine |
-
2015
- 2015-04-08 CN CN201520206891.6U patent/CN204591576U/en not_active Withdrawn - After Issue
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104791187A (en) * | 2015-04-08 | 2015-07-22 | 武汉四创自动控制技术有限责任公司 | Water-turbine adjustment system and method capable of forecasting health status |
| CN106089564A (en) * | 2016-06-17 | 2016-11-09 | 龙滩水电开发有限公司龙滩水力发电厂 | A kind of unit failure low oil pressure startup accident Row control loop reliably |
| CN109630346A (en) * | 2018-12-17 | 2019-04-16 | 四川茂龙发电设备制造有限公司 | Turbine Governor System |
| CN112963297A (en) * | 2021-02-09 | 2021-06-15 | 中国长江电力股份有限公司 | Hydraulic control system for speed regulator of water turbine |
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