CN103885406A - Industry gas production equipment fault intelligent diagnosis and monitoring system based on multi-data fusion - Google Patents

Industry gas production equipment fault intelligent diagnosis and monitoring system based on multi-data fusion Download PDF

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CN103885406A
CN103885406A CN201410086166.XA CN201410086166A CN103885406A CN 103885406 A CN103885406 A CN 103885406A CN 201410086166 A CN201410086166 A CN 201410086166A CN 103885406 A CN103885406 A CN 103885406A
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成谢锋
成回中
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Nanjing Post and Telecommunication University
Nanjing University of Posts and Telecommunications
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Abstract

The invention discloses an industry gas (hydrogen and oxygen) production equipment fault intelligent diagnosis and monitoring system based on multi-data fusion. The system comprises a plurality of sensors and a signal processing system. Industry gas (hydrogen and oxygen) production equipment is monitored through the sensors, an independent diagnosis result is obtained, then a detection signal is transmitted to the signal processing system, the signal processing system comprises a fault sample bank and can execute a fusion program according to the independent diagnosis result of the sensors to obtain an industry gas (hydrogen and oxygen) production equipment fault diagnosis result, and a pre-warning signal is sent out according to the fault diagnosis result, so that the system can give out an alarm in real time when data of a single sensor exceed an upper-limit value, fusion processing can be carried out according to the data of the sensors, and gas (hydrogen and oxygen) production equipment fault intelligent diagnosis pre-warning can be achieved.

Description

Industry gas equipment failure processed intelligent diagnostics and supervisory system based on multi-data fusion
Technical field
The implementation method that the present invention relates to a kind of industry gas processed (hydrogen, oxygen) equipment failure intelligent diagnostics and supervisory system, relates in particular to a kind of gas equipment failure intelligent diagnostics processed and supervisory system based on multi-data fusion.
Background technology
Hydrogen and oxygen are a kind of inflammable and explosive substances, therefore brine electrolysis industry gas processed (hydrogen, oxygen) (hydrogen manufacturing and oxygen) all has obvious danger from gas processed to the overall process of inflation, researchist has taked different safe precaution measures at the key position of industry gas processed (hydrogen, oxygen) (oxygen) equipment, and is improving constantly reliability and the advance of these precautionary measures.
Based on modern control theory and fault diagnosis technology, the present invention designs a kind of multi-data fusion industry gas processed (hydrogen, oxygen) (oxygen) equipment failure intelligent diagnostics supervisory system.It is replaced by reliable and stable digital supervision instrument the simulation monitoring instrument in original industry gas processed (hydrogen, oxygen) (oxygen) system, the point type monitoring of dispersion is replaced by integrated-type intelligent monitoring, on-the-spot sound and light alarm is strengthened as on-the-spot, long-range multi-form warning, single-sensor Data Detection is expanded to multiple Data Fusion of Sensor analyses, to the superthreshold trend that may occur or diagnosing malfunction and early warning.Thereby further guarantee industrial gas processed (hydrogen, oxygen) equipment and staff's safety, obviously alleviated field personnel's labour intensity simultaneously.
Summary of the invention
Based on modern control theory and fault diagnosis technology, the present invention designs a kind of multi-data fusion industry gas processed (hydrogen, oxygen) equipment failure intelligent diagnostics supervisory system.
The technical problem underlying the present invention relates to is how onsite alarming to be strengthened as on-the-spot, long-range multi-form warning, how single-sensor Data Detection is expanded to multiple Data Fusion of Sensor analyses, to the superthreshold trend that may occur or diagnosing malfunction and early warning.
Specifically, the technical solution used in the present invention is as follows:
A kind of industry based on multi-data fusion gas processed (hydrogen, oxygen) equipment failure intelligent diagnostics and supervisory system, comprise multiple sensors, signal processing system and prior-warning device, independent diagnostic result is monitored and obtained to described multiple sensor to industry gas processed (hydrogen, oxygen) equipment, then detection signal is passed to signal processing system, it is characterized in that, in signal processing system, comprise fault sample storehouse and carry out following operation:
1) obtain local diagnosis information by the independent diagnostic result of described multiple sensors;
2) described multiple local diagnosis information is merged, in conjunction with fault sample storehouse, infer overall diagnostic information, provide best industry gas processed (hydrogen, oxygen) equipment fault diagnosis result;
3) send early warning signal according to described fault diagnosis result.
The quantity of the sensor adopting in system can be any number of, can detect diagnosis to the many aspects of industry gas processed (hydrogen, oxygen) equipment, and can adopt different types of sensor for different situations, to obtain various needed information.In one embodiment, the number of described multiple sensors is 5, be respectively industry gas processed (hydrogen, oxygen) pressure, inflation (hydrogen, oxygen) pressure, cell body temperature, industry gas processed (hydrogen, oxygen) voltage and let out hydrogen concentration detecting sensor, to obtain the data of five aspects of most critical in industry gas processed (hydrogen, oxygen) equipment.
Preferably, described signal processing system comprises host computer and slave computer, the signal that slave computer receiving sensor transmits, and be transferred to host computer, the processing of the signal that host computer is responsible for transmitting.
Preferably, described prior-warning device comprises the technical grade note cat with electrostatic-proof function, is connected with slave computer by serial ports RS232 standard interface, supports PDU and TXT messaging format, has Chinese short message transmitting-receiving, English short message receiving-transmitting and wireless networking capabilities.
More preferably, between slave computer and host computer, be to be connected by Homeplug.
More preferably, be also provided with data acquisition unit between sensor and slave computer, the signal that sensor collects sends slave computer to after collecting by data acquisition unit.
More preferably, slave computer is also connected with camera, in slave computer, there is Web Video Service program, system is by camera collection scene image information, user connects the Web Video Service program of slave computer by mobile phone or the mobile device with browser, just can monitor in real time the situation of industrial gas processed (hydrogen, oxygen) industry spot.
The present invention also provides a kind of industry based on multi-data fusion gas processed (hydrogen, oxygen) equipment failure intelligent diagnostics and method for supervising, said method comprising the steps of:
1) set up fault sample storehouse;
2) collect the independent failure diagnostic result of industry gas processed (hydrogen, oxygen) equipment and draw local diagnosis information;
3) described multiple local diagnosis information is merged, in conjunction with fault sample storehouse, infer overall diagnostic information, provide best industry gas processed (hydrogen, oxygen) equipment fault diagnosis result.
As the application of the industry that provides this best gas processed (hydrogen, oxygen) equipment fault diagnosis result, can recognize likely there will be which type of fault based on this result, and and then overhaul accordingly for this fault of this fault or likely appearance.So industry gas processed (hydrogen, oxygen) equipment failure intelligent diagnostics and method for supervising based on multi-data fusion are also further comprising the steps:
4) send early warning signal according to the industry of this best gas processed (hydrogen, oxygen) equipment fault diagnosis result.
Beneficial effect: the Real-time Collection of five key index data of hydrogen concentration is pressed, let out to native system by slave computer to atmospheric pressure processed, charge pressure, cell body temperature, pneumoelectric processed in industry gas processed (hydrogen, oxygen) process; utilize host computer to realize the Intelligent treatment to data; once discovery dangerous situation; not only on-the-spot sound and light alarm; and send SMS to related personnel; carry out mobile video and supervise, starting protection control system simultaneously, stops industry gas processed.Native system is also according to the special producing environment of industry gas processed (hydrogen, oxygen) equipment, realize the multi-data fusion diagnosis of industrial gas processed (hydrogen, oxygen) equipment failure, make system not only can be in the time that single-sensor data exceed upper limit numerical value real-time sound and light alarm, and can carry out fusion treatment according to multiple sensing datas, the superthreshold trend that may occur or fault are analyzed and diagnosed, and provide alert in time, take precautions against fault in gesture, further promoted industrial gas processed (hydrogen, oxygen) device security ensure reliability.
Accompanying drawing explanation
Fig. 1 is industry of the present invention gas processed (hydrogen, oxygen) equipment failure intelligent diagnostics supervisory system hardware configuration schematic diagram.
Embodiment
The present invention proposes the system of a kind of industry being made up of host computer and slave computer gas processed (hydrogen, oxygen) equipment failure intelligent diagnostics and monitoring.The slave computer of this system can be realized collection, the transmission of data in industry gas processed (hydrogen, oxygen) production environment and show, also has the functions such as SMS alarm, monitoring remote video and powerline remote transmission; The host computer major function realizing based on PC be to the data of slave computer transmission store, intelligent processing method shows with graphical, the while can arrange the parameter of slave computer.The data of slave computer transmission are being carried out aspect intelligent processing method, emphasis has been realized many fusions intelligent diagnostics of industrial gas processed (hydrogen, oxygen) equipment failure, make system not only can be in the time that single-sensor data exceed the upper limit numerical value Realtime Alerts, and can carry out fusion treatment according to multiple sensing datas, realize the early warning of industry gas processed (hydrogen, oxygen) equipment failure intelligent diagnostics.
This system adopts digital pressure sensor to detect the real-time pressure that industry gas processed (hydrogen, oxygen) equipment produces in industry gas processed (hydrogen, oxygen) process, to prevent that equipment overvoltage from blasting; Adopt digital pressure sensor to detect the pressure while inflation to user's utensil, so that industry gas processed (hydrogen, oxygen) equipment is started working when needed, maintain the pressure of hydrogen container in normal range; Adopt digital temperature sensor to detect the real time temperature in industry gas processed (hydrogen, oxygen) electrolytic tank, with the temperature that guarantees industrial gas processed (hydrogen, oxygen) electrolytic tank at normal value; The concentration that adopts digital gas concentration sensor to detect industry gas processed (hydrogen, oxygen) workshop and store the contained gas of air (hydrogen, oxygen) in hydrogen storage equipment workshop, to reflect whether industry gas processed (hydrogen, oxygen) equipment lets out hydrogen phenomenon; Whether the electrical source of power that adopts digital DC voltage sensor senses industry gas processed (hydrogen, oxygen) equipment is in allowed band, to ensure that industrial gas processed (hydrogen, oxygen) equipment can normally work.
Native system, according to the special producing environment of industry gas processed (hydrogen, oxygen) equipment, is the following technology of having applied in scene, long-range multi-form warning problem solving onsite alarming enhancing:
(1) power line network transmission technology.At industry industry gas processed (hydrogen, oxygen) scene, because contain explosion gas, conventionally between slave computer and host computer, be connected by cable network, and do not adopt wireless network.Like this, at the scene and between Control Room, need to lay special netting twine.Be difficult for later stage increasing paving cable in some special building workshops, and employing power line network transmission technology, just can utilize existing electrical network, network signal is modulated into electric power signal to be transmitted, can realize the transfer rate up to 200Mbps or 500Mbps, greatly reduced the cost of laying netting twine, and dirigibility is higher, is convenient to applying of native system.
(2) the long-range short message alarm technique of GSM/GPRS.Native system selects to have the technical grade note cat of electrostatic-proof function, requires to provide serial ports RS232 standard interface, supports PDU and TXT messaging format, has Chinese short message transmitting-receiving, English short message receiving-transmitting and wireless networking capabilities.
(3) monitoring remote video technology.Video monitoring is the new expansion content of industry gas processed (hydrogen, oxygen) monitoring of equipment terminal, system is by high-definition camera collection site image information, user connects the Web Video Service program of slave computer by mobile phone or the mobile device with browser, just can monitor in real time the situation of industrial gas processed (hydrogen, oxygen) industry spot.This equipment makes full use of the hardware compression functionality of video camera, reduces CPU operation time as far as possible, has guaranteed the real-time of image transmitting, is a kind of feasible solution of embedded device video monitoring.
In to the statistical study of industry gas processed (hydrogen, oxygen) equipment actual monitoring data, find atmospheric pressure Zp processed, charge pressure Cp, cell body temperature Ct, let out hydrogen concentration L hwith DC voltage U wdata when overload alarm are not completely independently, but influence each other.During such as Zp and obvious synchronous rising of Ct generation, this means that industry gas processed (hydrogen, oxygen) electrolytic tank likely exists certain potential fault, this just can, reporting to the police before generation, point out technician in due course industry gas processed (hydrogen, oxygen) electrolytic tank once to be overhauled.Such as Cp and L hthere is obvious correlativity, L hwhile reaching higher limit, will report to the police, Cp has reduction phenomenon conventionally.If Cp obviously declines without reason, and L hbe not any change, need once to check letting out hydrogen concentration sensor.
How these phenomenons are effectively analyzed and to be processed? obviously, once total diagnostic result should be the fusion to single diagnostic message and the decision-making made, for the actual acquisition of industry gas processed (hydrogen, oxygen) equipment is at least 2 or 2 data diagnosis results more than sensor, but not talkative they separately complete, represented overall diagnosis accurately, thereby also need to carry out them and carry out decision-making level's fusion, obtain diagnosis early warning more accurately.From the viewpoint of Bayesian statistics, the independent diagnostic message of each sensing data can be regarded stochastic variable as, these stochastic variables must be not the true value of collective diagnosis, and be a random performance of overall true value, but some information that all implying overall true value are topical manifestations forms of overall true value.Therefore need these local diagnosis information to merge, finally infer overall diagnostic information, provide best industry gas processed (hydrogen, oxygen) equipment fault diagnosis result.
Native system is according to the special producing environment of industry gas processed (hydrogen, oxygen) equipment, expand to multiple Data Fusion of Sensor analyses in solution single-sensor Data Detection, to having applied following technology in the superthreshold trend that may occur or diagnosing malfunction and early warning problem:
If h i(1≤i≤5) independently diagnose the fault basic probability assignment function of deriving for 5 sensors of native system, and these 5 sensors independently diagnose the probability assignments function h under acting in conjunction to be:
h = h 1 + h i + . . . + h 5 = h ( γ ) = 0 ( D = 1 ) h ( K ) = Σ ( k 1 ∩ k 2 ∩ . . . ∩ k m = K ) 1 - D ( D ≠ 1 )
Wherein h (K) is the basic confidence level of fault K, and has the diagnosis that m kind is different; D represents estimating between different faults, and D is less, and the conflict between each fault is less, has:
D = Σ k 1 ∩ k 2 ∩ . . . ∩ k m ≠ K Π h i ( k m ) ( 1 ≤ i ≤ 5 )
If the phenomenon of data characterization is had to the diagnosis that m kind is different, total J kind fault sample in fault sample storehouse, it is d that phenomenon and sample have similarity distance, rate degree of the genus matrix of m diagnosis is so:
β m × J = d 11 d 12 . . . d 1 J d 21 d 22 . . . d 2 J . . . . . . . . . . . . d m 1 d m 2 . . . d mJ
The basic reliability function value of m kind diagnosis can be determined by following formula so:
h m ( k i ) = δ m 1 d mi ( i = 1,2 , . . . , J )
h m ( Θ ) = 1 - Σ i J 1 d mi δ m
Basic reliability function h m(k i) represent the credibility of " fault of being diagnosed out is i fault in standard fault database ".Wherein Θ is fault diagnosis framework, δ mfor weights, δ mmainly determined by the factor of 2 below: (a) performance weights factor: phenomenon and the metastable fault diagnosis of fault conclusion that the data that sensor is obtained characterize should be given larger weights.Pass through great many of experiments analysis herein, the phenomenon of the failure in actual industrial gas processed (hydrogen, oxygen) environment is added up, adopt the average correct diagnosis of fault as performance weights.(b) correlativity weights factor: in actual industrial gas processed (hydrogen, oxygen) environment, each fault signature the information providing is provided and is had correlativity, so relatively independent fault case should be given larger correlativity weights, otherwise give less weights.Such as, δ when 5 sensing datas exceed upper limit numerical value m=1, they can independently be reported to the police separately.
Like this, when to multi-data fusion, have
Figure BDA0000475180920000075
, Θ is fault diagnosis framework, gets the sample of J fault database.There is h (k 1)=max{h (k m), (
Figure BDA0000475180920000076
m=1 ... J), h (k 2)=max{h (k m), ( and k m≠ k 1, m=1 ... J), and:
h ( k 1 ) - h ( k 2 ) > &alpha; 1 h ( &Theta; ) < &alpha; 2 h ( k 1 ) > h ( &Theta; )
Wherein h (Θ) represents uncertainty, α 1, α 2for the thresholding of setting, the result of multi-data fusion industry gas processed (hydrogen, oxygen) equipment fault diagnosis is h (k 1), can be according to h (k 1) corresponding early warning information proposed.
In sum, native system is according to the special producing environment of industry gas processed (hydrogen, oxygen) equipment, and in host computer, to having adopted multi-data fusion disposal route in the superthreshold trend that may occur or diagnosing malfunction and early warning problem, the method is established h i(1≤i≤5) independently diagnose the fault basic probability assignment function of deriving for 5 sensors of native system, with basic reliability function h m(k i) represent the credibility of " fault of being diagnosed out is i fault in standard fault database ", make h (Θ) expression uncertainty, α 1, α 2for the thresholding of setting, so according to h (k 1)-h (k 2) > α 1, h (k 1) > h (Θ), h (Θ) < α 2can calculate h (k 1), obtain the result h (k of multi-data fusion industry gas processed (hydrogen, oxygen) equipment fault diagnosis 1), and propose based on h (k in data analysis on same day conclusion 1) early warning report.
Referring to Fig. 1, illustrate that one proposed by the invention is by based on ARM Operations Analysis 1(ARM9 flush bonding processor) industry gas processed (hydrogen, oxygen) the equipment failure intelligent diagnostics that forms for the slave computer of core and the host computer 2 based on PC and the system of monitoring.The slave computer of this system can be realized collection, the transmission of data in industry gas processed (hydrogen, oxygen) production environment and show, also has the functions such as SMS alarm, monitoring remote video and powerline remote transmission; Host computer 2 major functions that realize based on PC be to the data of slave computer transmission store, intelligent processing method shows with graphical, the while can arrange the parameter of slave computer.
This system adopts digital pressure sensor to detect industry gas processed (hydrogen, the oxygen) pressure 3 that industry gas processed (hydrogen, oxygen) equipment produces in industry gas processed (hydrogen, oxygen) process, to prevent that equipment overvoltage from blasting; Adopt digital pressure sensor to detect the charge pressure 4 while inflation to user's utensil, so that industry gas processed (hydrogen, oxygen) equipment is started working when needed, maintain the pressure of hydrogen container in normal range; Adopt digital temperature sensor to detect the cell body temperature 5 in industry gas processed (hydrogen, oxygen) electrolytic tank, with the temperature that guarantees industrial gas processed (hydrogen, oxygen) electrolytic tank at normal value; What adopt that digital hydrogen gas concentration sensor detects in industry gas processed (hydrogen, oxygen), storage hydrogen storage equipment workshop that air occurs lets out hydrogen concentration 6, to reflect whether industrial gas processed (hydrogen, oxygen) equipment lets out hydrogen phenomenon; Adopt the DC voltage 7 of electrical source of power of digital DC voltage sensor senses industry gas processed (hydrogen, oxygen) equipment whether in allowed band, to ensure that industrial gas processed (hydrogen, oxygen) equipment can normally work.
Native system, according to the special producing environment of industry gas processed (hydrogen, oxygen) equipment, is the following technology of having applied in scene, long-range multi-form warning problem solving onsite alarming enhancing:
(1) adopt electric power networks bridge (Homeplug 10) to realize power line network transmission.(2) adopt the note cat 9 based on GSM/GPRS realize Chinese short message transmitting-receiving and get online without being tethered to a cable.(3) adopt camera 8 to obtain industry gas processed (hydrogen, oxygen) device context image information, realize the monitoring remote video of system.
Native system is according to the special producing environment of industry gas processed (hydrogen, oxygen) equipment, and in host computer 2, to having adopted multi-data fusion disposal route in the superthreshold trend that may occur or diagnosing malfunction and early warning problem, the method is established h i(1≤i≤5) independently diagnose the fault basic probability assignment function of deriving for 5 sensors of native system, with basic reliability function h m(k i) represent the credibility of " fault of being diagnosed out is i fault in standard fault database ", so can be by the h (k described in above-mentioned technical method 1) computing method, obtain the result h (k of multi-data fusion industry gas processed (hydrogen, oxygen) equipment fault diagnosis 1), and propose based on h (k in data analysis on same day conclusion 1) early warning report.While synchronously rising to their 80% left and right of higher limit such as industry gas processed (hydrogen, oxygen) pressure 3 and cell body temperature 5, by calculating h (k 1), be greater than threshold value α 1, α 2, this means that industry gas processed (hydrogen, oxygen) electrolytic tank likely exists certain potential fault, this just can, reporting to the police before generation, point out technician in due course industry gas processed (hydrogen, oxygen) electrolytic tank once to be overhauled.
In sum, the present invention has provided the implementation method of a kind of industry based on multi-data fusion gas processed (hydrogen, oxygen) equipment failure intelligent diagnostics and supervisory system.This industry gas processed (hydrogen, oxygen) equipment monitoring system by slave computer to industry gas processed (hydrogen, oxygen) pressure in industry gas processed (hydrogen, oxygen) process, fill hydrogen pressure, cell body temperature, industrial gas processed (hydrogen, oxygen) voltage, let out the Real-time Collection that carries out of five key index data of hydrogen concentration; utilize host computer to realize the Intelligent treatment to data; once discovery dangerous situation; not only on-the-spot sound and light alarm; and send SMS to related personnel; carrying out mobile video supervises; starting protection control system simultaneously, stops industry gas processed (hydrogen, oxygen).This system is also according to the special producing environment of industry gas processed (hydrogen, oxygen) equipment, realize the multi-data fusion diagnosis of industrial gas processed (hydrogen, oxygen) equipment failure, make system not only can be in the time that single-sensor data exceed upper limit numerical value real-time sound and light alarm, and can carry out fusion treatment according to multiple sensing datas, to the superthreshold trend that may occur or diagnosing malfunction and early warning.Effectively promote the safety and reliability of industrial gas processed (hydrogen, oxygen) equipment.
With specific embodiment, embodiments of the present invention are described in detail by reference to the accompanying drawings above, but the invention is not restricted to above-mentioned embodiment, in the ken possessing at affiliated technical field those of ordinary skill, can also under the prerequisite that does not depart from aim of the present invention, make a variety of changes.

Claims (10)

1. the gas equipment failure processed intelligent diagnostics of the industry based on multi-data fusion and supervisory system, comprise multiple sensors, signal processing system and prior-warning device, independent diagnostic result is monitored and obtained to described multiple sensor to industry gas equipment processed, then detection signal is passed to signal processing system, it is characterized in that, in signal processing system, comprise fault sample storehouse and carry out following operation:
1) obtain local diagnosis information by the independent diagnostic result of described multiple sensors;
2) described multiple local diagnosis information is merged, in conjunction with fault sample storehouse, infer overall diagnostic information, provide best industry gas equipment fault diagnosis processed result;
3) send early warning signal according to described fault diagnosis result.
2. the gas equipment failure processed intelligent diagnostics of the industry based on multi-data fusion as claimed in claim 1 and supervisory system, it is characterized in that, the number of described multiple sensors is 5, is respectively industry atmospheric pressure processed, fills hydrogen pressure, cell body temperature, industry pneumoelectric pressure processed and let out hydrogen concentration detecting sensor.
3. the gas equipment failure processed intelligent diagnostics of the industry based on multi-data fusion as claimed in claim 1 and supervisory system, it is characterized in that, described prior-warning device has the technical grade note cat of electrostatic-proof function, be connected with slave computer by serial ports RS232 standard interface, support PDU and TXT messaging format, there are Chinese short message transmitting-receiving, English short message receiving-transmitting and wireless networking capabilities.
4. the gas equipment failure processed intelligent diagnostics of the industry based on multi-data fusion and supervisory system as claimed any one in claims 1 to 3, it is characterized in that, described signal processing system comprises host computer and slave computer, the signal that slave computer receiving sensor transmits, and be transferred to host computer, the processing of the signal that host computer is responsible for transmitting.
5. the gas equipment failure processed intelligent diagnostics of the industry based on multi-data fusion as claimed in claim 4 and supervisory system, is characterized in that, between slave computer and host computer, is to be connected by Homeplug.
6. the gas equipment failure processed intelligent diagnostics of the industry based on multi-data fusion as claimed in claim 4 and supervisory system, it is characterized in that, between sensor and slave computer, be also provided with data acquisition unit, the signal that sensor collects sends slave computer to after collecting by data acquisition unit.
7. the gas equipment failure processed intelligent diagnostics of the industry based on multi-data fusion as claimed in claim 4 and supervisory system, it is characterized in that, slave computer is also connected with camera, in slave computer, there is Web Video Service program, system is by camera collection scene image information, user connects the Web Video Service program of slave computer by mobile phone or the mobile device with browser, just can monitor in real time the situation of industrial gas industry spot processed.
8. the gas equipment failure processed intelligent diagnostics of the industry based on multi-data fusion and a method for supervising, is characterized in that, said method comprising the steps of:
1) set up fault sample storehouse;
2) collect multiple fault-signal data of industry gas equipment processed and draw corresponding independent failure diagnostic result, drawing local diagnosis information;
3) described multiple local diagnosis information is merged, in conjunction with fault sample storehouse, infer overall diagnostic information, provide best industry gas equipment fault diagnosis processed result.
9. the gas equipment failure processed intelligent diagnostics of the industry based on multi-data fusion as claimed in claim 8 and method for supervising, is characterized in that, described method is further comprising the steps:
4) send early warning signal according to the industry of this best gas equipment fault diagnosis processed result.
10. the gas equipment failure processed intelligent diagnostics of the industry based on multi-data fusion and method for supervising as claimed in claim 8 or 9, it is characterized in that step 2) in multiple fault-signal data of collecting be industry atmospheric pressure Zp processed, charge pressure Cp, cell body temperature Ct, let out hydrogen concentration L hwith DC voltage U win at least two.
CN201410086166.XA 2014-03-11 2014-03-11 Industry gas production equipment fault intelligent diagnosis and monitoring system based on multi-data fusion Pending CN103885406A (en)

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CN106287225A (en) * 2015-06-02 2017-01-04 齐鲁工业大学 A kind of combustion gas on-line monitoring early warning system and detection control method thereof
CN106951197A (en) * 2017-01-19 2017-07-14 北京印刷学院 A kind of printing equipment remote fault diagnosis method and system based on signal testing
CN107169658A (en) * 2017-05-18 2017-09-15 东北大学 The method for diagnosing faults of hydrometallurgy concentrator based on confidence level
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CN107037800A (en) * 2017-06-15 2017-08-11 中国人民解放军军事医学科学院卫生装备研究所 Based on client oxygen generating plant remote failure diagnosis system and method for diagnosing faults
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Application publication date: 20140625