CN103234622B - Device and method for diagnosing valve failure based on throttling excitation characteristics of valve port - Google Patents
Device and method for diagnosing valve failure based on throttling excitation characteristics of valve port Download PDFInfo
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- CN103234622B CN103234622B CN201310138808.1A CN201310138808A CN103234622B CN 103234622 B CN103234622 B CN 103234622B CN 201310138808 A CN201310138808 A CN 201310138808A CN 103234622 B CN103234622 B CN 103234622B
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- 238000000034 method Methods 0.000 title claims abstract description 16
- 230000005284 excitation Effects 0.000 title abstract 2
- 238000006243 chemical reaction Methods 0.000 claims abstract description 31
- 230000003321 amplification Effects 0.000 claims abstract description 17
- 238000003199 nucleic acid amplification method Methods 0.000 claims abstract description 17
- 239000004973 liquid crystal related substance Substances 0.000 claims abstract description 13
- 238000001914 filtration Methods 0.000 claims description 10
- 230000009467 reduction Effects 0.000 claims description 9
- 230000003595 spectral effect Effects 0.000 claims description 9
- 239000011159 matrix material Substances 0.000 claims description 6
- 238000005070 sampling Methods 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 3
- 230000004044 response Effects 0.000 claims description 3
- 238000002405 diagnostic procedure Methods 0.000 claims 1
- 239000000284 extract Substances 0.000 claims 1
- 238000003745 diagnosis Methods 0.000 abstract description 4
- 239000003990 capacitor Substances 0.000 abstract 2
- 230000008859 change Effects 0.000 description 5
- 239000012530 fluid Substances 0.000 description 3
- 206010044565 Tremor Diseases 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 206010000372 Accident at work Diseases 0.000 description 1
- 238000012935 Averaging Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
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Abstract
The invention discloses a device and a method for diagnosing a valve failure based on throttling excitation characteristics of a valve port. The method comprises an acquisition and amplification module, a microprocessor module and a human-computer interface module, wherein the acquisition and amplification module comprises a piezoelectric sensor Q1, a first capacitor C1, a second capacitor C2, a first resistor R1, a second resistor R2 and an operational amplifier Q2; the microprocessor module comprises a digital signal processor (DSP) chip U1TMS320F2812; and the human-computer interface module comprises two SN74ALVC64245 voltage conversion chips U2 and U3 and a T6973C liquid crystal display U4. The device can be used for effectively judging the working conditions of chucking and jamming during the operation of a hydraulic valve, and is high in failure diagnosis accuracy; and the device is not directly connected with a hydraulic valve control circuit, so that the hydraulic valve can be conveniently detected on the spot, and the unnecessary disassembly of the hydraulic valve is avoided.
Description
Technical field
The present invention relates to the valve fault diagnosis based on the collection of the micro-vibration characteristics of valve, analysis and Intelligent Recognition, a kind of particularly valve trouble-shooter based on valve port throttling exciting characteristic and method.
Background technology hydraulic valve is for controlling fluid pressure, the element in flow and direction, is widely used in hydraulic control system.Spool moves the flow direction or flow etc. that control liquid in hydraulic valve by position, be the important ingredient of hydraulic valve.In the actual use procedure of hydraulic system, due to the impact characteristics of valve inner restriction fluid, when pipeline oil pressure or flow change, hydraulic valve spool there will be small flutter.The production of hydraulic system is actual to be shown that the frequency characteristic of spool flutter and the operating mode of hydraulic system have and directly contacts.But, based on the uncertainty of hydraulic fluid, above-mentioned correlationship is between the two more difficult is derived by theoretical model, therefore, need to develop a kind of hydraulic valve diagnostic device based on disc vibration characteristic, can identification preferably due to spool mismachining tolerance, expand with heat and contract with cold or the reason such as greasy dirt obstruction, the phenomenons such as hydraulic valve spool clamping bite.In process of production, this phenomenon will cause hydraulic system normally to work, and even cause great industrial accident.
At present, the method for spool fault diagnosis is not a lot.Patent as patent No. CN1026200047A relates to a kind of hydraulic valve bite clamping hydraulic detection device of real-time online, it is electrically connected with electromagnetic proportional valve, by the electric signal of sampling module collection by hydraulic valve, by clamping bite judging module according to the frequency inputting the signal that trembles, the information such as peak value, the modules such as fuzzy mutticriteria judgement are utilized to judge the degree of membership of the clamping bite situation of hydraulic valve, this device can according to negative feedback loop simultaneously, control export control signal and tremble generation Signal averaging by PID, the action of hydraulic valve spool is driven to repair slight bite situation through amplifying circuit, but it is too complicated to change apparatus structure, need the structure and the control circuit that change Normal hydraulic valve, use inconvenience, apply limited.
Summary of the invention
The present invention is directed to the deficiencies in the prior art, a kind of valve trouble-shooter based on valve port throttling exciting characteristic and method are provided.
A kind of valve trouble-shooter based on valve port throttling exciting characteristic, gather and amplification module, microprocessor module, human-computer interface module, described collection and amplification module comprise piezoelectric sensor Q1, the first electric capacity C1, the second electric capacity C2, the first resistance R1, the second resistance R2 and operational amplifier Q2, described microprocessor module comprises dsp chip U1TMS320F2812, and described human-computer interface module comprises two pieces of SN74ALVC64245 voltage conversion chip U2, U3 and T6973C liquid crystal display U4;
One end ground connection of described piezoelectric sensor Q1, one end of the other end and the first electric capacity C1, one end of the first resistance R1 and the reverse input end of operational amplifier Q2 are connected; The positive input of operational amplifier Q2 is connected with one end of one end of the second electric capacity C2 and the second resistance R2, negative sense power input ground connection, the other end of output terminal and the first electric capacity C1, the other end of the first resistance R1,175 pin of dsp chip U1TMS320F2812 are connected, the other end ground connection of the second electric capacity C2, the other end of the second resistance R2 is connected with 174 pin of dsp chip U1TMS320F2812 and ground connection; 155 pin of dsp chip U1TMS320F2812,149 pin, 106 pin, 107 pin are connected with 47 pin of voltage conversion chip U2 SN74ALVC64245,44 pin, 43 pin, 41 pin respectively, 157 pin are connected with 46 pin of voltage conversion chip U2 SN74ALVC64245 and 1 pin of voltage conversion chip U3 SN74ALVC64245 respectively, and 94 pin, 95 pin, 98 pin, 99 pin, 102 pin, 104 pin, 116 pin, 117 pin are connected with 47 pin of voltage conversion chip U3 SN74ALVC64245,46 pin, 44 pin, 43 pin, 41 pin, 40 pin, 38 pin, 37 pin respectively; 42 pin and 1 pin of voltage conversion chip U2 SN74ALVC64245 connect 3.3V power supply, 7 pin connect 5V power supply, 10 pin, 48 pin and 39 pin ground connection, 2 pin, 3 pin, 5 pin, 6 pin, 8 pin are connected with 18 pin of T6973C liquid crystal display U4,19 pin, 20 pin, 21 pin, 2 pin respectively; 42 pin of voltage conversion chip U3 SN74ALVC64245 connect 3.3V power supply, 7 pin connect 5V power supply, 10 pin, 48 pin and 39 pin ground connection, 2 pin, 3 pin, 5 pin, 6 pin, 8 pin, 9 pin, 11 pin, 12 pin are connected with 33 pin of T6973C liquid crystal display U4,34 pin, 35 pin, 36 pin, 37 pin, 38 pin, 39 pin, 40 pin respectively; 32 pin of T6973C liquid crystal display U4 connect 5V power supply, 63 pin ground connection.
A kind of valve method for diagnosing faults based on valve port throttling exciting characteristic: the method comprises the following steps:
The first step: signals collecting and amplification module gather hydraulic valve vibration signal by piezoelectric sensor; Amplification module adopts electric charges amplify chip OPA128JM that signal is enlarged into voltage signal
x(
t);
Second step: 12 AD conversion passages that A/D modular converter uses TMS320F2812 built-in, the simulating signal after amplification connects the ADCPIN0 pin of chip TMS 320 F 2812, by the every 10ms of interrupt routine to vibration voltage signal
x(
t) carry out high-speed sampling, intercept and obtain digital signal
x(
n)
;fIR digital filtering module is realized hydraulic valve vibration digital signal by the signal processing function called in dsp chip
x(
n) low-pass filtering, the difference equation of Finite Impulse Response filter is
(1)
Wherein
for filter factor,
x(
n-i) be vibration signal input, N
1for filter length,
y(
n) be the output of filtering after vibration signal;
3rd step: FFT modular converter is by discrete signal
y(
n) change from time domain to frequency domain, access time, axle extraction method carried out Fourier transform, and oscillator signal inputs
y(
n) sequence counts as N, N=2
l, L is integer, through Fast Fourier Transform (FFT):
； (2)
(3)
The sequence of oscillator signal is divided into two groups by the odevity of n, then (2) formula can be launched further
(4)
Because Y
1(
k) and Y
2(
k) cycle be N/2, and to be known by formula (3)
(5)
Then (4) formula easily extensible goes out equation
(6)
So just, form butterfly computation, decompose through L time successively and realize signal
y(
n) Fast Fourier Transform (FFT), settling signal, from time domain to the conversion of frequency domain, obtains the spectral characteristic of hydraulic valve vibration signal;
4th step: set up RSDA decision table, referred to as UD={U,
at, U represents limited non-NULL object set, namely hydraulic valve vibration time spectral characteristic and corresponding hydraulic valve state: operating mode 1(G1), operating mode 2 (G2) ..., operating mode n (Gn),
atrepresent the property set of limited non-NULL, m frequency range: the F1 namely extracted from the Fast Fourier Transform (FFT) result of vibration signal, F2 ..., Fm; Gathering limited n hydraulic valve operating mode is object set, and with the m of an image data frequency range for conditional attribute, operating mode judges to make decision attribute; Some conditional attribute is redundancy for RSDA decision-making, therefore needs Decision Table Reduction; In order to obtain decision-making core accurately, set up discrimination matrix based on the difference of spectral characteristic between different operating mode, its discrimination matrix item is C
i,j:
C
i,j={F∈
At;F(Gi)≠F(Gj),i,j=1,2,..,n}
In formula, Gi, Gj are the operating mode chosen, and F (Gi), F (Gj) represent the distinguishing attribute of different operating mode,
at is property set, and F represents frequency range; And then set up resolution function and be:
i,j=1,2,..,n (7)
In formula,
expression is extracted,
represent conjunction; To sum up, fall band segment by formula (7) attribute reduction, obtain least reduction collection B,
; Based on resolution function yojan result, decision rule form is as follows
, namely R is the decision rule of the flow rate working conditions of hydraulic valve.
Adopt the technical program, the present invention is desirable obtains following Advantageous Effects: 1, apparatus of the present invention effectively can be studied and judged operating modes such as the operating clamping of hydraulic valve, bites, and fault diagnosis accuracy is high.2, the present invention is not directly connected with hydraulic valve control circuit, easy to detect, is convenient to carry out Site Detection to hydraulic valve, avoids unnecessary hydraulic valve dismounting.
Accompanying drawing explanation
Fig. 1 is theory diagram of the present invention;
Fig. 2 is circuit diagram of the present invention;
Fig. 3 is FIR filtering algorithm structural drawing.
Embodiment
As shown in Figure 1, 2, a kind of valve trouble-shooter based on valve port throttling exciting characteristic, gather and amplification module, microprocessor module, human-computer interface module, described collection and amplification module comprise piezoelectric sensor Q1, the first electric capacity C1, the second electric capacity C2, the first resistance R1, the second resistance R2 and operational amplifier Q2, described microprocessor module comprises dsp chip U1TMS320F2812, and described human-computer interface module comprises two pieces of SN74ALVC64245 voltage conversion chip U2, U3 and T6973C liquid crystal display U4;
One end ground connection of described piezoelectric sensor Q1, one end of the other end and the first electric capacity C1, one end of the first resistance R1 and the reverse input end of operational amplifier Q2 are connected; The positive input of operational amplifier Q2 is connected with one end of one end of the second electric capacity C2 and the second resistance R2, negative sense power input ground connection, the other end of output terminal and the first electric capacity C1, the other end of the first resistance R1,175 pin of dsp chip U1TMS320F2812 are connected, the other end ground connection of the second electric capacity C2, the other end of the second resistance R2 is connected with 174 pin of dsp chip U1TMS320F2812 and ground connection; 155 pin of dsp chip U1TMS320F2812,149 pin, 106 pin, 107 pin are connected with 47 pin of voltage conversion chip U2 SN74ALVC64245,44 pin, 43 pin, 41 pin respectively, 157 pin are connected with 46 pin of voltage conversion chip U2 SN74ALVC64245 and 1 pin of voltage conversion chip U3 SN74ALVC64245 respectively, and 94 pin, 95 pin, 98 pin, 99 pin, 102 pin, 104 pin, 116 pin, 117 pin are connected with 47 pin of voltage conversion chip U3 SN74ALVC64245,46 pin, 44 pin, 43 pin, 41 pin, 40 pin, 38 pin, 37 pin respectively; 42 pin and 1 pin of voltage conversion chip U2 SN74ALVC64245 connect 3.3V power supply, 7 pin connect 5V power supply, 10 pin, 48 pin and 39 pin ground connection, 2 pin, 3 pin, 5 pin, 6 pin, 8 pin are connected with 18 pin of T6973C liquid crystal display U4,19 pin, 20 pin, 21 pin, 2 pin respectively; 42 pin of voltage conversion chip U3 SN74ALVC64245 connect 3.3V power supply, 7 pin connect 5V power supply, 10 pin, 48 pin and 39 pin ground connection, 2 pin, 3 pin, 5 pin, 6 pin, 8 pin, 9 pin, 11 pin, 12 pin are connected with 33 pin of T6973C liquid crystal display U4,34 pin, 35 pin, 36 pin, 37 pin, 38 pin, 39 pin, 40 pin respectively; 32 pin of T6973C liquid crystal display U4 connect 5V power supply, 63 pin ground connection.
A kind of valve method for diagnosing faults based on valve port throttling exciting characteristic: the method comprises the following steps:
The first step: signals collecting and amplification module gather hydraulic valve vibration signal by piezoelectric sensor; Amplification module adopts electric charges amplify chip OPA128JM that signal is enlarged into voltage signal
x(
t);
Second step: as shown in Figure 3,12 AD conversion passages that A/D modular converter uses TMS320F2812 built-in, the simulating signal after amplification connects the ADCPIN0 pin of chip TMS 320 F 2812, by the every 10ms of interrupt routine to vibration voltage signal
x(
t) carry out high-speed sampling, intercept and obtain digital signal
x(
n)
;fIR digital filtering module is realized hydraulic valve vibration digital signal by the signal processing function called in dsp chip
x(
n) low-pass filtering, the difference equation of Finite Impulse Response filter is
(1)
Wherein
for filter factor,
x(
n-i) be vibration signal input, N
1for filter length,
y(
n) be the output of filtering after vibration signal;
3rd step: FFT modular converter is by discrete signal
y(
n) change from time domain to frequency domain, access time, axle extraction method carried out Fourier transform, and oscillator signal inputs
y(
n) sequence counts as N, N=2
l, L is integer, through Fast Fourier Transform (FFT):
； (2)
(3)
The sequence of oscillator signal is divided into two groups by the odevity of n, then (2) formula can be launched further
(4)
Because Y
1(
k) and Y
2(
k) cycle be N/2, and to be known by formula (3)
(5)
Then (4) formula easily extensible goes out equation
(6)
So just, form butterfly computation, decompose through L time successively and realize signal
y(
n) Fast Fourier Transform (FFT), settling signal, from time domain to the conversion of frequency domain, obtains the spectral characteristic of hydraulic valve vibration signal;
4th step: set up RSDA decision table, referred to as UD={U,
at, U represents limited non-NULL object set, namely hydraulic valve vibration time spectral characteristic and corresponding hydraulic valve state: operating mode 1(G1), operating mode 2 (G2) ..., operating mode n (Gn),
atrepresent the property set of limited non-NULL, m frequency range: the F1 namely extracted from the Fast Fourier Transform (FFT) result of vibration signal, F2 ..., Fm; Gathering limited n hydraulic valve operating mode is object set, and with the m of an image data frequency range for conditional attribute, operating mode judges to make decision attribute; Some conditional attribute is redundancy for RSDA decision-making, therefore needs Decision Table Reduction; In order to obtain decision-making core accurately, set up discrimination matrix based on the difference of spectral characteristic between different operating mode, its discrimination matrix item is C
i,j:
C
i,j={F∈
At;F(Gi)≠F(Gj),i,j=1,2,..,n}
In formula, Gi, Gj are the operating mode chosen, and F (Gi), F (Gj) represent the distinguishing attribute of different operating mode,
at is property set, and F represents frequency range; And then set up resolution function and be:
i,j=1,2,..,n (7)
In formula,
expression is extracted,
represent conjunction; To sum up, fall band segment by formula (7) attribute reduction, obtain least reduction collection B,
; Based on resolution function yojan result, decision rule form is as follows
, namely R is the decision rule of the flow rate working conditions of hydraulic valve.
Claims (2)
1. the valve trouble-shooter based on valve port throttling exciting characteristic, comprise collection and amplification module, microprocessor module and human-computer interface module, described collection and amplification module comprise piezoelectric sensor Q1, the first electric capacity C1, the second electric capacity C2, the first resistance R1, the second resistance R2 and operational amplifier Q2, described microprocessor module comprises dsp chip U1, its model is TMS320F2812, and described human-computer interface module comprises voltage conversion chip U2, voltage conversion chip U3 and T6973C liquid crystal display U4; The model of voltage conversion chip U2 is the model of SN74ALVC64245, voltage conversion chip U3 is SN74ALVC64245;
It is characterized in that: one end ground connection of described piezoelectric sensor Q1, one end of the other end and the first electric capacity C1, one end of the first resistance R1 and the reverse input end of operational amplifier Q2 are connected; The positive input of operational amplifier Q2 is connected with one end of one end of the second electric capacity C2 and the second resistance R2, negative sense power input ground connection, the other end of output terminal and the first electric capacity C1, the other end of the first resistance R1,175 pin of dsp chip U1 are connected, the other end ground connection of the second electric capacity C2, the other end of the second resistance R2 is connected with 174 pin of dsp chip U1 and ground connection; 155 pin of dsp chip U1,149 pin, 106 pin, 107 pin are connected with 47 pin of voltage conversion chip U2,44 pin, 43 pin, 41 pin respectively, 157 pin are connected with 46 pin of voltage conversion chip U2 and 1 pin of voltage conversion chip U3 respectively, and 94 pin, 95 pin, 98 pin, 99 pin, 102 pin, 104 pin, 116 pin, 117 pin are connected with 47 pin of voltage conversion chip U3,46 pin, 44 pin, 43 pin, 41 pin, 40 pin, 38 pin, 37 pin respectively; 42 pin and 1 pin of voltage conversion chip U2 connect 3.3V power supply, and 7 pin connect 5V power supply, 10 pin, 48 pin and 39 pin ground connection, and 2 pin, 3 pin, 5 pin, 6 pin, 8 pin are connected with 18 pin of T6973C liquid crystal display U4,19 pin, 20 pin, 21 pin, 2 pin respectively; 42 pin of voltage conversion chip U3 connect 3.3V power supply, 7 pin connect 5V power supply, 10 pin, 48 pin and 39 pin ground connection, 2 pin, 3 pin, 5 pin, 6 pin, 8 pin, 9 pin, 11 pin, 12 pin are connected with 33 pin of T6973C liquid crystal display U4,34 pin, 35 pin, 36 pin, 37 pin, 38 pin, 39 pin, 40 pin respectively; 32 pin of T6973C liquid crystal display U4 connect 5V power supply, 63 pin ground connection.
2. the valve method for diagnosing faults based on valve port throttling exciting characteristic: it is characterized in that the method comprises the following steps:
Algorithmic procedure from data acquisition to failure diagnostic process divides five steps, as follows:
The first step: signals collecting and amplification module gather hydraulic valve vibration signal by piezoelectric sensor; Amplification module adopts electric charges amplify chip OPA128JM that signal is enlarged into voltage signal x (t);
Second step: 12 AD conversion passages that A/D modular converter uses TMS320F2812 built-in, simulating signal after amplification connects the ADCPIN0 pin of chip TMS 320 F 2812, by interrupt routine every 10ms, high-speed sampling is carried out to vibration voltage signal x (t), intercept and obtain digital signal x (n); FIR digital filtering module is realized hydraulic valve vibration digital signal x (n) low-pass filtering by the signal processing function called in dsp chip, and the difference equation of Finite Impulse Response filter is
Wherein b
ifor filter factor, x (n-i) is vibration signal input, N
1for filter length, y (n) is the output of filtering after vibration signal;
3rd step: discrete signal y (n) is changed from time domain to frequency domain by FFT modular converter, access time, axle extraction method carried out Fourier transform, and oscillator signal input y (n) sequence is counted as N, N=2
l, L is integer, through Fast Fourier Transform (FFT):
The sequence of oscillator signal is divided into two groups by the odevity of n, then (2) formula can be launched further
Because Y
1(k) and Y
2k the cycle of () is N/2, and known by formula (3)
Then (4) formula easily extensible goes out equation
So just, form butterfly computation, decompose the Fast Fourier Transform (FFT) realized signal y (n) successively through L time, settling signal, from time domain to the conversion of frequency domain, obtains the spectral characteristic of hydraulic valve vibration signal;
4th step: set up RSDA decision table, referred to as UD={U, At}, U represents limited non-NULL object set, namely hydraulic valve vibration time spectral characteristic and corresponding hydraulic valve state: operating mode 1 (G1), operating mode 2 (G2) ..., operating mode n (Gn), At represents the property set of limited non-NULL, m frequency range: the F1 namely extracted from the Fast Fourier Transform (FFT) result of vibration signal, F2 ..., Fm; Gathering limited n hydraulic valve operating mode is object set, and with the m of an image data frequency range for conditional attribute, operating mode judges to make decision attribute; Some conditional attribute is redundancy for RSDA decision-making, therefore needs Decision Table Reduction; In order to obtain decision-making core accurately, set up discrimination matrix based on the difference of spectral characteristic between different operating mode, its discrimination matrix item is C
i,j:
C
i,j＝{F∈At；F(Gi)≠F(Gj),i,j＝1,2,..,n}
In formula, Gi, Gj are the operating mode chosen, and F (Gi), F (Gj) represent the distinguishing attribute of different operating mode, and At is property set, and F represents frequency range; And then set up resolution function and be:
In formula, ∧ represents and extracts, and ∨ represents conjunction; To sum up, fall band segment by formula (7) attribute reduction, obtain least reduction collection B,
based on resolution function yojan result, decision rule form is as follows
namely R is the decision rule of the flow rate working conditions of hydraulic valve.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310138808.1A CN103234622B (en) | 2013-04-19 | 2013-04-19 | Device and method for diagnosing valve failure based on throttling excitation characteristics of valve port |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310138808.1A CN103234622B (en) | 2013-04-19 | 2013-04-19 | Device and method for diagnosing valve failure based on throttling excitation characteristics of valve port |
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| Publication Number | Publication Date |
|---|---|
| CN103234622A CN103234622A (en) | 2013-08-07 |
| CN103234622B true CN103234622B (en) | 2015-03-18 |
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ID=48882673
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310138808.1A Active CN103234622B (en) | 2013-04-19 | 2013-04-19 | Device and method for diagnosing valve failure based on throttling excitation characteristics of valve port |
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Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN2914058Y (en) * | 2006-05-26 | 2007-06-20 | 江苏技术师范学院 | Machinery fault diagnosis instrument |
| US7539560B2 (en) * | 2007-01-05 | 2009-05-26 | Dresser, Inc. | Control valve and positioner diagnostics |
| CN201819805U (en) * | 2010-03-10 | 2011-05-04 | 湖南江麓容大车辆传动股份有限公司 | Fault diagnosis device of motor vehicle running gear |
| CN202300765U (en) * | 2011-10-25 | 2012-07-04 | 浙江大学 | Fault diagnosis device of automobile electromagnetic valve |
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Effective date of registration: 20160201 Address after: 311811 Zhejiang province Zhuji Fengqiao Town Industrial Zone Patentee after: Zhejiang Zhuji Donggang Hydraulic Pressuremachinery Co., Ltd. Address before: Hangzhou City, Zhejiang province 310018 Xiasha Higher Education Park No. 2 street Patentee before: Hangzhou Electronic Science and Technology Univ |
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Denomination of invention: Device and method for diagnosing valve failure based on throttling excitation characteristics of valve port Effective date of registration: 20171108 Granted publication date: 20150318 Pledgee: China Co truction Bank Corp Zhuji branch Pledgor: Zhejiang Zhuji Donggang Hydraulic Pressuremachinery Co., Ltd. Registration number: 2017330000162 |
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Effective date of registration: 20180710 Address after: 311800 Qinglong fan, Maple Bridge Town, Zhuji, Zhejiang Patentee after: Zhejiang Baili Machinery Co., Ltd. Address before: 311811 Maple Bridge Industrial District, Zhuji, Zhejiang Patentee before: Zhejiang Zhuji Donggang Hydraulic Pressuremachinery Co., Ltd. |
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