CN1430050A - In-line fault diagnosis system for running mechanism of train - Google Patents
In-line fault diagnosis system for running mechanism of train Download PDFInfo
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- CN1430050A CN1430050A CN 01131652 CN01131652A CN1430050A CN 1430050 A CN1430050 A CN 1430050A CN 01131652 CN01131652 CN 01131652 CN 01131652 A CN01131652 A CN 01131652A CN 1430050 A CN1430050 A CN 1430050A
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Abstract
An in-line failure diagnosing system for the running mechanism of train is composed of a hardware system consisting of power supply, sensors, patch box, detection circuit, DSP masterboard and LED display, and a software system comprising axle temp measuring point by point, fast scanning and measuring axle temp. measuring vibration SV value, integrated precisely diagnosing temp and vibration, precise diagnosing with push roller on ground, dumping data and modifying parameters. Its advantages are bus structure, high integrated level, anti-interference power and stability, and low cost.
Description
Technical field
The present invention relates to a kind of online system failure diagnosis, particularly a kind of being applicable to as the online system failure diagnosis under rolling stock complex structure, work under bad environment, the complicated occasion of undesired signal.
Background technology
Along with commercial production and science and technology development, plant equipment becomes increasingly complex, the also corresponding raising of automatization level, in a single day these equipment break down, not only equipment suffers greatly to destroy but also also cause very big threat for people's life and life, in order to guarantee equipment safety operation, must carry out maintenance management work.For this reason, the past whole world all adopts the method for preventive maintenance, promptly regularly the armamentarium strip inspection.Through facts have proved of various countries, adopt the method for scheduled overhaul, not only do not reduce fault, on the contrary,, increased fault on the contrary because periodic maintenance has destroyed original stable system, consumed great amount of manpower and material resources simultaneously again.There are some advanced technology countries to begin to adopt the method (looking the feelings maintenance) of state maintenance since the seventies, promptly according to device physical status decision maintenance position and time, show through many national different field application, adopt the state maintenance method, promptly reduce fault, saved huge manpower and materials again.
Past is " can produce invisible economic benefit and social benefit " to praising and honouring of fault diagnosis technology.Recent two decades comes, people more and more recognize the importance of the condition monitoring and fault diagnosis of plant equipment operation, recognized that also fault diagnosis technology is not only to produce invisible economic benefit and social benefit, but can obtain huge direct economic benefit.For example: blower fan, cement mill rotary kiln motor etc. move in rugged surroundings for a long time under running mechanism of train portion, the coal mine mechanical gear and bearing, if utilize on-line condition monitoring and diagnostic techniques monitored for prolonged periods of time equipment operation condition, can make reasonable maintenance decision, thereby reduce or shorten down time, in the serviceable life of prolongation equipment, avoided the waste of traditional periodic maintenance a large amount of manpower and materials that method causes.
Show according to the interrelated data statistics: the fault of plant equipment 70% is a vibration fault, and 70% in the vibration fault is the fault of bearing and gear.For the running mechanism of train in-line fault diagnosis technology that the present invention studied, the speech of the available safety supervision Si Ding director of the Ministry of Railways in railway association in 2000 opening ceremony is illustrated, " ... 28 of " eight or five " the first three years system-wide generation vehicle off-axis, fervent accidents; wherein major accident is 6,22 of bad accidents; 10 of " 95 " the first three years system-wide generation vehicle off-axis, fervent accidents, wherein major accident is 4,6 of bad accidents ... the fervent accident of rolling bearing often takes place in a short period of time, present infrared axle temperature detection device is because aspects such as cloth dot density, sensitivity can not prevent the generation of fervent accident fully.Present most pick-up unit all is to determine according to heating whether bearing working is normal, but often at first do not show heating after the bearing breakage, at first be that the roller vibration frequency changes, wish to develop the bearing running state detecting device of new generation that changes according to fault bearing frequency spectrum, in time find fault, prevent that to greatest extent fervent accident from taking place." the visible an urgent demand of implementing China's speed-raising strategy to travelled by vehicle portion safety.For the fault diagnosis of plant equipment, theoretical side is comparative maturities all at home and abroad, and China follows the tracks of tighterly in theory, but because each side, diagnostic device and reliability thereof etc. to aspect still have certain gap.Particularly the on-line fault diagnosis of rotating machinery under the occasion such as numerous and diverse as rolling stock complex structure, work under bad environment, undesired signal is at present domestic still blank, also has only developed country to adopt in the world.
Just in this case, be subjected to the inspiration of some the basic logic thoughts in the medical diagnostics, and it is generalized to field of engineering technology, produce and developed new comprehensive frontier branch of science a---mechanical fault diagnosis in the 60 to 70's of twentieth century.Development along with related sciences such as information sensing technology, signal processing technology and modern measuring technologies, the particularly develop rapidly of technology such as EDA, DSP, computing machine, for equipment fault diagnosis provides great technical support, thereby make the realization of running mechanism of train in-line fault diagnosis technology become possibility.
Summary of the invention
The object of the present invention is to provide that a kind of project organization is reasonable, antijamming capability is strong, the antivibration ability is good and easy to operate, fault diagnosis rate height is applicable to on-line fault diagnosis device and technology as rotating machinery under the occasions such as rolling stock complex structure, work under bad environment, undesired signal complexity.
The objective of the invention is to realize by following approach: its hardware circuit comprises sensor, terminal box, power circuit, testing circuit, DSP mainboard and light-emitting diode display.Power circuit is formed line under-voltage, overvoltage crowbar and delayed startup circuit by a slice four high guaily unit IC1:LM324, BG01:9013,2.5V reference voltage Z1 and resistance, di-cap etc.; Form anti-electromagnetic interference (EMI) circuit by C01～C03 and wave filter FIR, C04～C06, C09～C011, lightning protection diode V03～V04 etc.; V01, V02 form anti-power supply misconnection circuit.Sensor is made up of digital temperature sensing element DS18B20, piezoelectric accelerometer, charge amplifier etc.The terminal box circuit is made up of 89C51,24C02 and MAX1480 etc.Testing circuit is formed current-voltage conversion circuit by the precision resistance of a single amplifier of TL034 and a 1K; Form resonance and high-pass filtering circuit by 4N02,4N03 and resistance capacitance; The low-pass filter circuit that absolute value detection that demodulator circuit is made up of IC5, diode and resistance and 4N04 and resistance capacitance are formed constitutes.The DSP mainboard is made up of TMS320C31,1032E, IS61C1024, DS1642, ST28SF040, serial AD C, 16C552, MAX485, MAX232 and single-chip microcomputer etc.The light-emitting diode display circuit is made up of 89C2051, light emitting diode, hummer, LED charactron and MAX7219 etc.The present invention extracts the comprehensive accurate diagnosis that temperature, speed, vibratory impulse of measurand etc. carried out many reference amounts, many standards, vibration and shock signal is carried out overall treatments such as resonance and demodulation, wavelet transformation, FFT conversion, the fault diagnosis expert system that fault diagnosis adopts the analysis of time domain vibrational energy, spectrum analysis, unique fault diagnosis criterion spy to combine and constitute.
Running mechanism of train in-line fault diagnosis technology of the present invention has following characteristics: the temperature of (1) system extraction measurand, speed, vibratory impulse etc. carry out the comprehensive accurate diagnosis of many reference amounts, many standards, have overcome the limitation of single parameter, single standard; (2) system carries out overall treatments such as resonance and demodulation, wavelet transformation, FFT conversion to vibration and shock signal; Has unique advantage aspect the gear-bearing fault diagnosis that solves under the occasions such as railway locomotive traveling portion complex structure, work under bad environment, undesired signal be numerous and diverse; (3) to adopt with DSP be the inline diagnosis main frame of core in system, on-line condition monitoring and the real time fail diagnosis that can not disintegrate to railway locomotive and other rotating machineries; (4) system adopts the fault diagnosis expert system that time domain vibrational energy analysis and spectrum analysis combine; (5) system adopts the special formation of unique fault diagnosis criterion fault diagnosis expert system knowledge base; (6) the system synthesis technical indicator is: temperature accuracy ± 0.5 ℃, fault diagnosis rate 97%, misdiagnosis rate＜3%, rate of missed diagnosis are zero; (7) system adopts bus-organization, has that integrated level height, antijamming capability are strong, good stability, cost be low; (8) system has the off-line data management function, can understand the historic state of measurand operation at any time or carry out trend analysis and the comprehensive accurate diagnosis of off-line.
Description of drawings
Below in conjunction with accompanying drawing the present invention is described in further detail:
Fig. 1 is a hardware configuration block scheme of the present invention;
Fig. 2 is power circuit of the present invention and anti-electromagnetic interference (EMI) circuit;
Fig. 3 is a current-voltage conversion circuit of the present invention;
Fig. 4 is a resonant circuit of the present invention;
Fig. 5 is a circuit of high pass filter of the present invention;
Fig. 6 is an absolute value detecting circuit of the present invention;
Fig. 7 is a low-pass filter circuit of the present invention;
Fig. 8 is sensor of the present invention, terminal box functional-block diagram;
Fig. 9 is a DSP mainboard functional-block diagram of the present invention;
Figure 10 is a light-emitting diode display functional-block diagram of the present invention;
Figure 11 is a master routine software block scheme of the present invention;
Figure 12 is a signal processing software block scheme of the present invention;
Figure 13 is an expert system software block scheme of the present invention.
Embodiment
Running mechanism of train in-line fault diagnosis device (is used for the actual connection of DF4B sections road locomotive) as shown in Figure 1, and device comprises hardware and software two parts composition, and hardware and software all adopts the function modoularization structural design.Hardware mainly comprises power circuit, sensor, terminal box, testing circuit, DSP mainboard and light-emitting diode display six major parts.The power circuit of Fig. 2 and anti-electromagnetic interference (EMI) circuit mainly are control DC-DC conversion film piece (72～144V in normal range, locomotive uses) the energy operate as normal, its core is a slice four high guaily unit LM324, reference voltage 2.5V is introduced 6,10,13 pin of LM224, equal 2.5V when adjusting voltage that R05, R07 make 5 pin for DC72V, when so input voltage is lower than DC72V, DC-DC conversion film piece REM end will become high level, thereby make the film piece forbid output; Same reason, by adjusting voltage that R04, R06 make 9 pin when input voltage is higher than DC144V, DC-DC conversion film piece REM end will become high level, thereby make the film piece forbid output; And delay circuit is realized by R08, C016; Anti-high frequency low frequency electromagnetic disturbs mainly by C01～C03 and wave filter FIR, C04～C06, C09～C011, lightning protection diode V03～V04 forms filtering antijamming circuit, can effectively suppress the electromagnetic disturbance that complicated external electromagnetic signal produces device, and anti-locking apparatus electromagnetic interference (EMI) to external world itself; V01, V02 form anti-power supply misconnection circuit and avoid because of improper use device being caused damage.Fig. 3 is made up of the precision resistance of a TL034 amplifier and a 1K (0.1%), circuit usefulness+/-the 8V power supply, be used for the vibratory impulse current signal of sensor output is converted to voltage signal; Energy for vibratory impulse is 1g, the sensitivity 0.01ma/g of sensor, and amplifier is output as 10mv/g so, and the rest may be inferred, and the output of amplifier is corresponding one by one with the energy of vibratory impulse.Device adopts the hardware resonance demodulation technique to extract the vibratory impulse pulse signal that is submerged in the strong background noise, effectively suppresses conventional vibration, the influence of undesired signal to measuring; Hardware resonance and demodulation circuit is made up of the resonant circuit of Fig. 4, the circuit of high pass filter of Fig. 5, the absolute value detecting circuit of Fig. 6 and the low-pass filter circuit of Fig. 7 etc.; The resonant circuit of Fig. 4 and the circuit of high pass filter of Fig. 5 are made up of 4N02,4N03 and resistance capacitance, capacitor in the circuit should be with the precision capacitor of polystyrene or polypropylene media, have good long-term stability and low temperature coefficient, resistance is 0.1% precision resistance.The absolute value detecting circuit of Fig. 6 and the low-pass filter circuit of Fig. 7 are made up of 4N04, IC5, diode and resistance capacitance, be used for the signal of resonator output is carried out demodulation (being detection, filtering), take out it and cover line (the vibratory impulse pulse signal of promptly removing conventional vibration and undesired signal and having amplified).Fig. 8 is sensor of the present invention, terminal box functional-block diagram, and sensor is made up of digital temperature sensing element DS18B20, piezoelectric accelerometer, charge amplifier etc., and the terminal box circuit is made up of 89C51,24C02 and MAX1480 etc.; Temperature signal send DSP mainboard by single-chip microcomputer 89C51 Direct Sampling by the RS485 bus; Through RS485 bus, terminal box single-chip microcomputer 89C51 control, vibration and shock signal is inspected drafting board by ready samples to the passage of vibratory impulse after coupling is amplified and is converted to current signal by the DSP mainboard, behind the plate resonance and demodulation, send the ADC sampling of DSP mainboard after testing; In circuit design, when power headroom is considered, do not allow to cause piezoelectric patches resonance, DS18B20 is installed in the sensitive spot of temperature of sensor, and should select the good encapsulant of heat conductivility between the temperature-sensitive point of DS18B20 and the sensor outer housing, can not leave a blank and to pour into the fluid sealant of heat transfer property difference, to reduce temperature inertia, terminal box is in line with reducing the principle design that circuit disturbs, corresponding six combination sensors of each terminal box, temperature signal is by six DS18B20 output single-chip microcomputer Direct Sampling, and the last samples result of each passage temporarily is stored in the internal memory corresponding unit with substitute mode, waits for that main frame reads.DSP mainboard such as Fig. 9, hardware is made up of TMS320C31,1032E, IS61C1024, DS1642, ST28SF040, serial AD C, 16C552, MAX485, MAX232 and single-chip microcomputer etc.; This is the core of whole device, and it not only will finish fault-signal from sampling the overall process of diagnostic result output, but also the management and the coordination of other functions of the system of being responsible for; Therefore whether the design of this part is reasonable, and whether performance is reliable, directly influences the stability of total system; This circuit is in line with reducing power consumption, improve reliability and stability, increasing the principle design of antijamming capability; Single-chip microcomputer in the circuit is responsible for display keyboard management, parameter and work such as clock modification and storage; It is connected with dsp bus by 16C552; The dsp operation program loads by monolithic EEPROM, operation saves as monolithic SBSRAM, the unloading data by USB interface to flash disk or by the RS232 interface to dump device, diagnostic result is realized exporting through 16C552, MAX1480 by bus, sampled data is through acquisitions such as RS485, analog signal lines.The light-emitting diode display circuit is made up of 89C2051, light emitting diode, hummer, LED charactron and MAX7219 etc., finishes the sampled result of DSP mainboard output and the demonstration of diagnostic result.
Software of the present invention is divided into ground processed offline part and online in real time processing section, and two parts software processing method and process are in full accord; Figure 11 is an online treatment master routine software block scheme of the present invention, mainly comprises seven functional modules that can switch mutually greatly such as axle temperature point-to-point measurement, the quick scanning survey of axle temperature, the measurement of vibration SV value, the comprehensive accurate diagnosis of temperature disturbance, top, ground wheel accurate diagnosis, data dump, parameter modification; Figure 12 is a signal processing software block scheme of the present invention, adopt multiple signal analysis treating methods such as anti-aliasing filtering, wavelet transformation, FFT conversion integrated, device adopts the sampling of speed of a motor vehicle frequency-tracking, be unit under test revolution 10.24 circle once sampling, to guarantee to adopt the reliable collection of various failure messages; For solving the problem that sampled signal aliasing and the resolution of low-and high-frequency on frequency spectrum differ, the discrete digital signal of sampling is carried out as shown in figure 12 processing; Figure 13 is an expert system software block scheme of the present invention, fault diagnosis has adopted analysis of time domain vibrational energy and spectrum analysis combines, forward reasoning combines with backward inference fault diagnosis expert system, overcome the limitation of single parameter, single standard, realized the comprehensive accurate diagnosis of many reference amounts, many standards; Temperature knowledge module mainly contains following function: the sense of rotation of 1. judging measurement component, 2. set up or select the temperature mathematical model of current measuring point, 3. calculate the actual temperature of current measuring point, 4. write down and preserve the actual temperature of current measuring point, 5. make the temperature trend analysis of current measuring point, 6. calculate the specific temperature rise of current measuring point; Changeing frequently, the knowledge module mainly contains following function: whether the fluctuation of 1. judging speed is greater than ± 10%, greater than resampling then, 2. calculate the gap number that to pass through, 3. pick out gap information, 4. calculate the percentage speed variation of each frequency range, 5. calculate the characteristic frequency of all kinds of faults, 6. determine the segmentation frequency of each frequency range; Waveform knowledge module mainly contains following function: 1. maximal value identification, 2. minimum value identification, 3. variance (or standard deviation) identification, 4. skewness index (or kurtosis index) identification, 5. there is not guiding principle figureofmerit (pulse index and nargin index) identification, 6. calculate elementary dB value, judge 7. whether elementary dB value surpasses threshold value; Frequency spectrum knowledge module is a pith of fault accurate diagnosis, amplitude spectrum after the FFT conversion is declared, mainly contain following criterion: 1. search characteristics spectral line and discreteness criterion, 2. spectral line amplitude energy criterion, 3. spectral line sharpness criterion, 4. multiclass fault coexistence criterion, 5. fault intermodulation criterion, 6. higher-order spectrum disturbs criterion, 7. spectral line half poor criterion; Phase place knowledge module mainly contains following function: 1. determine the phase differential of fundamental frequency signal with respect to a certain definite mark in the rotating shaft, 2. calculate the fault vibration signal phase difference, 3. compensate the phase lag that causes because of filtering, wavelet transformation etc., 4. calculate the phasing degree of fault vibration signal and rotary label, 5. direction of vibration is judged; Stability of vibration knowledge module mainly contains following function: 1,2,3, the 4 rank amplitude mean value G that 1. calculate failure classes, 2. calculate the rank amplitude mean value F of all spectral lines, 3. calculating K=G/F, 4. write down and preserve the K value of current measuring point, 5. if less than a certain threshold value, then thinking, the K value do not have fault or fault light (can not consider); The K value is then done trend analysis to the K value greater than this threshold value.
Claims (2)
1. in-line fault diagnosis system for running mechanism of train, it comprises diagnostic device hardware and the two large divisions of diagnostic software; Diagnostic device comprises sensor, terminal box, power circuit, testing circuit, DSP mainboard and light-emitting diode display; It is characterized in that:
Line under-voltage, overvoltage crowbar and the delayed startup circuit formed by a slice four high guaily unit IC1, BG01,2.5V reference voltage Z1 and resistance, di-cap, the anti-electromagnetic interference (EMI) circuit that C01～C03 and wave filter FIR, C04～C06, C09～C011, lightning protection diode V03～V04 form, the anti-power supply misconnection circuit that V01, V02 form;
The many reference amounts combination sensor of forming by digital temperature sensing element DS18B20, piezoelectric accelerometer, charge amplifier;
The terminal box circuit of forming by 89C51,24C02 and MAX1480;
By the current-voltage conversion circuit that the precision resistance of a single amplifier of TL034 and a 1K is formed, 4N02,4N03 and resistance capacitance are formed resonance and high-pass filtering circuit;
The demodulator circuit that the low-pass filter circuit that absolute value detection of being made up of IC5, diode and resistance and 4N04 and resistance capacitance are formed is formed;
Form the DSP mainboard by TMS320C31,1032E, IS61C1024, DS1642, ST28SF040, serial AD C, 16C552, MAX485, MAX232 and single-chip microcomputer;
The light-emitting diode display circuit of forming by 89C2051, light emitting diode, hummer, LED charactron and MAX7219.
2. running mechanism of train in-line fault diagnosis device according to claim 1, its diagnostic software comprises vehicle-mounted real-time processing software and Ground analysis diagnostic software; Its software features is: adopt the integrated of multiple signal analysis treating methods such as anti-aliasing filtering, wavelet transformation, FFT conversion, the fault diagnosis expert system that fault diagnosis adopts the analysis of time domain vibrational energy, spectrum analysis, unique fault diagnosis criterion spy to combine and constitute.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 01131652 CN1200259C (en) | 2001-12-30 | 2001-12-30 | In-line fault diagnosis system for running mechanism of train |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 01131652 CN1200259C (en) | 2001-12-30 | 2001-12-30 | In-line fault diagnosis system for running mechanism of train |
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| Publication Number | Publication Date |
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| CN1430050A true CN1430050A (en) | 2003-07-16 |
| CN1200259C CN1200259C (en) | 2005-05-04 |
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| CN 01131652 Expired - Fee Related CN1200259C (en) | 2001-12-30 | 2001-12-30 | In-line fault diagnosis system for running mechanism of train |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1316238C (en) * | 2004-10-13 | 2007-05-16 | 南京航空航天大学 | Integration test device for antiskid unit of train |
| CN100449264C (en) * | 2006-12-18 | 2009-01-07 | 杭州电子科技大学 | On-line detection method and device for thread defect of vehicle wheel set |
| CN102144150A (en) * | 2008-09-19 | 2011-08-03 | 巴姆邦德尔运输有限公司 | Testable vibration monitoring device and method |
| CN102419872A (en) * | 2011-09-05 | 2012-04-18 | 株洲丰达电力机车配件实业有限责任公司 | Locomotive axial velocity recording, idle running diagnosing and forecasting device |
| CN103257310A (en) * | 2012-02-15 | 2013-08-21 | 通用汽车环球科技运作有限责任公司 | Non-bussed vehicle amplifier diagnostics |
| CN103412552A (en) * | 2013-08-23 | 2013-11-27 | 哈尔滨威克科技有限公司 | Infrared shaft-temperature and wheel-temperature detection terminal based on web based service |
| CN103674586A (en) * | 2013-12-12 | 2014-03-26 | 同济大学 | Method for hidden danger and fault feature extraction for train running system |
| CN103794038A (en) * | 2012-10-12 | 2014-05-14 | 中国北车股份有限公司 | Train equipment wireless measuring system and method |
| CN105698859A (en) * | 2016-02-20 | 2016-06-22 | 湖南科技大学 | Train running part state monitoring multi-parameter sensor |
| CN106679999A (en) * | 2016-12-26 | 2017-05-17 | 合肥工大高科信息科技股份有限公司 | Built-in-compartment high-speed train running part online fault detection device |
| CN107884214A (en) * | 2017-11-08 | 2018-04-06 | 唐智科技湖南发展有限公司 | A kind of train EEF bogie unit failure multi-parameter comprehensive decision-making technique and device |
| CN109060173A (en) * | 2018-09-27 | 2018-12-21 | 宁波中车时代传感技术有限公司 | A kind of railcar fluorescence temperature measurement system mode adaptive method and its railcar fluorescence temperature measurement system |
| CN112649044A (en) * | 2020-12-08 | 2021-04-13 | 湖南科技大学 | Triaxial vibration temperature sensor and interface circuit thereof |
-
2001
- 2001-12-30 CN CN 01131652 patent/CN1200259C/en not_active Expired - Fee Related
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1316238C (en) * | 2004-10-13 | 2007-05-16 | 南京航空航天大学 | Integration test device for antiskid unit of train |
| CN100449264C (en) * | 2006-12-18 | 2009-01-07 | 杭州电子科技大学 | On-line detection method and device for thread defect of vehicle wheel set |
| CN102144150A (en) * | 2008-09-19 | 2011-08-03 | 巴姆邦德尔运输有限公司 | Testable vibration monitoring device and method |
| CN102419872A (en) * | 2011-09-05 | 2012-04-18 | 株洲丰达电力机车配件实业有限责任公司 | Locomotive axial velocity recording, idle running diagnosing and forecasting device |
| CN103257310A (en) * | 2012-02-15 | 2013-08-21 | 通用汽车环球科技运作有限责任公司 | Non-bussed vehicle amplifier diagnostics |
| CN103257310B (en) * | 2012-02-15 | 2016-03-16 | 通用汽车环球科技运作有限责任公司 | Without the diagnosis of bus vehicle amplifier |
| CN103794038A (en) * | 2012-10-12 | 2014-05-14 | 中国北车股份有限公司 | Train equipment wireless measuring system and method |
| CN103412552B (en) * | 2013-08-23 | 2016-01-20 | 哈尔滨威克科技有限公司 | The infrared shaft temperature of Network Basedization and the warm detecting terminal of wheel |
| CN103412552A (en) * | 2013-08-23 | 2013-11-27 | 哈尔滨威克科技有限公司 | Infrared shaft-temperature and wheel-temperature detection terminal based on web based service |
| CN103674586A (en) * | 2013-12-12 | 2014-03-26 | 同济大学 | Method for hidden danger and fault feature extraction for train running system |
| CN105698859A (en) * | 2016-02-20 | 2016-06-22 | 湖南科技大学 | Train running part state monitoring multi-parameter sensor |
| CN105698859B (en) * | 2016-02-20 | 2017-10-17 | 湖南科技大学 | Multi-parameter sensor for train EEF bogie status monitoring |
| CN106679999A (en) * | 2016-12-26 | 2017-05-17 | 合肥工大高科信息科技股份有限公司 | Built-in-compartment high-speed train running part online fault detection device |
| CN106679999B (en) * | 2016-12-26 | 2018-11-23 | 合肥工大高科信息科技股份有限公司 | A kind of built-in online fault detection means of bullet train running part in compartment |
| CN107884214A (en) * | 2017-11-08 | 2018-04-06 | 唐智科技湖南发展有限公司 | A kind of train EEF bogie unit failure multi-parameter comprehensive decision-making technique and device |
| CN109060173A (en) * | 2018-09-27 | 2018-12-21 | 宁波中车时代传感技术有限公司 | A kind of railcar fluorescence temperature measurement system mode adaptive method and its railcar fluorescence temperature measurement system |
| CN112649044A (en) * | 2020-12-08 | 2021-04-13 | 湖南科技大学 | Triaxial vibration temperature sensor and interface circuit thereof |
| CN112649044B (en) * | 2020-12-08 | 2024-06-11 | 湖南科技大学 | Triaxial vibration temperature sensor system |
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| CN1200259C (en) | 2005-05-04 |
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