CN110308300A - A kind of rotating speed measurement method and device merging multifrequency nature data - Google Patents
A kind of rotating speed measurement method and device merging multifrequency nature data Download PDFInfo
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- CN110308300A CN110308300A CN201910565749.3A CN201910565749A CN110308300A CN 110308300 A CN110308300 A CN 110308300A CN 201910565749 A CN201910565749 A CN 201910565749A CN 110308300 A CN110308300 A CN 110308300A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P3/00—Measuring linear or angular speed; Measuring differences of linear or angular speeds
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P3/00—Measuring linear or angular speed; Measuring differences of linear or angular speeds
- G01P3/42—Devices characterised by the use of electric or magnetic means
- G01P3/44—Devices characterised by the use of electric or magnetic means for measuring angular speed
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- General Physics & Mathematics (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The present invention provides a kind of rotating speed measurement method for merging multifrequency nature data, which is characterized in that the described method includes: acquiring more than one motor speed performance data；The rotary speed property data are handled using auto-correlation function, obtain the periodic signal of data waveform；The frequency of corresponding data waveform is obtained by algorithmic transformation；It will be merged in respective frequencies input data fusion forecasting model, obtain the tachometer value of the motor；The present invention also provides a kind of rotation-speed measuring devices for merging multifrequency nature data, comprising: sensor module, display module and main control module.The present invention merge multifrequency nature data calculate revolving speed, can be improved tachometric survey stability and accuracy rate and be able to solve existing apparatus installation trouble problem.
Description
Technical field
The present invention relates to mechanical separator speed fields of measurement, in particular to a kind of rotating speed measurement method for merging multifrequency nature data
And device.
Background technique
Currently on the market, mostly by measuring a kind of data characteristic to obtain motor speed, however one kind is only measured
Data characteristic has that accuracy rate is low, is arranged after the data characteristic is interfered, is unable to get desired result；This
Outside, existing rotation-speed measuring device needs to install awareness tool on motor or rotary shaft mostly, and cooperation awareness tool could be real
Revolving speed is now accurately measured, installation process is troublesome and there are certain requirements to rotary shaft, it is difficult to reach convenient measurement.
Summary of the invention
The object of the present invention is to provide a kind of rotating speed measurement methods and device for merging multifrequency nature data.
The present invention is to solve existing single characteristic DATA REASONING revolving speed method is unstable, accuracy rate is low and existing apparatus
The problem of trouble is installed.
To achieve the purpose of the present invention, the technical solution adopted by the present invention is that:
A kind of rotating speed measurement method merging multifrequency nature data, which comprises
Acquire more than one motor speed performance data；
The rotary speed property data are handled using auto-correlation function, obtain the periodic signal of data waveform；
The frequency of corresponding data waveform is obtained by algorithmic transformation；
It will be merged in respective frequencies input data fusion forecasting model, obtain the tachometer value of the motor.
Preferably, the motor speed performance data includes magnetic field data, voice data and vibration data.
Further, the rotary speed property data are handled further include: use low-pass filtering or small echo processing side
Method removes white noise to the rotary speed property data of acquisition.
Preferably, the algorithm is that Fast Fourier Transform (FFT) or Chrip-Z are converted.
Preferably, the data fusion prediction model is Extended Kalman filter or Hidden Markov prediction model.
Further, the prediction algorithm includes:
When magnetic field, vibration and voice data are interfered, when so that corresponding predicted value being 0 or maximum, then give up the spy
Property data；
When there are the predicted value gap of the predicted value of any one and remaining the two is larger in magnetic field, sound and vibration data
When, then give up the biggish data of gap, similar predicted value is averaged as final tachometer value；
When the corresponding predicted value of all data is close, the weight of every kind of data is set, by predicted value multiplied by corresponding
Weight obtains final tachometer value.
The present invention also provides a kind of rotation-speed measuring device for merging multifrequency nature data, the rotation-speed measuring device applies institute
The rotating speed measurement method for the fusion multifrequency nature data stated, comprising: sensor module, display module and main control module.
Preferably, the sensor module includes for measuring the magnetometer of magnetic field data, for measuring voice data
Microphone and acceleration transducer for measuring vibration data.
Preferably, the rotation-speed measuring device further includes wireless module and the external equipment for showing relevant information, is led to
It crosses the wireless module relevant information is sent to external equipment and show, the relevant information includes tachometer value, shaft turning collar
Several, each characteristics of signals curve predicted value comparison diagram corresponding with three kinds of characteristics.
The rotating speed measurement method of fusion multifrequency nature data and having the beneficial effect that for device of the invention:
1, the method for the present invention is by acquiring a variety of rotary speed property data and converting to obtain final revolving speed by series of computation
Value can accurately still measure the revolving speed of motor after certain rotary speed property data is interfered, effectively solve existing
The problem that method is unstable and accuracy rate is low.
2, the present invention can filter out extreme value data and the biggish data of error, and by merging a variety of rotary speed property data
Revolving speed is calculated, to improve the accuracy rate of motor speed.
3, rotary speed property data of the present invention include magnetic field data, and in the case where not strong magnetic disturbance, stability is high,
It not will receive the influences such as friction is shaken, noise interferes, it is generally the case that magnetic field is in stable state, will not go out in a short time
Existing larger fluctuation, therefore merged by magnetic field data plus voice data and vibration data, tachometric survey precision can be improved.
4, the present invention also provides a kind of rotation-speed measuring devices for merging multifrequency nature data, acquire magnetic field number by magnetometer
According to acquiring voice data by microphone, acquire vibration data by acceleration transducer, and handle and count by main control module
Motor speed is calculated, the present apparatus is not necessarily to sensor installation on the rotating shaft, device need to be only attached to motor housing or hand-held
Measurement, it is easy to use, solve the problems, such as existing apparatus installation trouble.
Detailed description of the invention
Fig. 1: the method for the present invention flow diagram；
Fig. 2: apparatus of the present invention structural relation schematic diagram.
Specific embodiment
Existing rotating speed measurement method has that unstable, accuracy rate is low and existing apparatus installs trouble.So this hair
It is bright to propose new scheme, more clearly to indicate, the present invention is described in detail with reference to the accompanying drawing.
Embodiment 1:
Referring to Fig. 1, a kind of rotating speed measurement method merging multifrequency nature data, which comprises
Acquire more than one motor speed performance data；
The rotary speed property data are handled using auto-correlation function, obtain the periodic signal of data waveform；
The frequency of corresponding data waveform is obtained by algorithmic transformation；
It will be merged in respective frequencies input data fusion forecasting model, obtain the tachometer value of the motor.
Magnetic field data, voice data and vibration data are acquired by nyquist sampling theorem in the present embodiment.
The rotary speed property data are handled further include: using low-pass filtering or wavelet processing methods to acquisition
Rotary speed property data remove white noise.
The algorithm is that fast fourier transform algorithm or Chirp-z convert algorithm；
The Fast Fourier Transform (FFT) (FFT), basic thought are that original N point sequence is successively resolved into a series of
Short sequence, make full use of symmetric property possessed by exponential factor and periodic property in discrete Fourier transform calculating formula, into
And find out the corresponding discrete Fourier transform of these short sequences and carry out appropriately combined, reaching deletion computes repeatedly, and reduces multiplication
Operation and the purpose for simplifying structure.
The unit circle of z-plane can be become a helix gradually from unit origin by the Chirp-z transformation algorithm
Into unit circle.Signal spectrum analysis can be realized on the helix on z-plane, may begin at any point, end at another
One arbitrary point.Primary weighting processing is first carried out to signal x (n), the linear system for being then h (n) by a unit impulse response
System, finally, the preceding M point output to the system remakes primary weighting, so that it may obtain whole M point helix sampled values.
The data fusion prediction model is Extended Kalman filter or Hidden Markov prediction model.
The Extended Kalman filter, which refers to, regards the revolving speed of motor as a state variable, considers the fifth-order nonlinearity of motor
Model linearization is estimated revolving speed in each estimation point using extended Kalman filter method by model, and this method can be effective
Ground inhibits noise, improves the accuracy of speed estimate.
It is considered as a markoff process and do not see that the Hidden Markov prediction model, which is in the system being modeled,
The statistics Markov model of the state of (hiding) that measures, the Hidden Markov prediction model allow more complicated data
The considerations of structure and Non-stationary Data structure.
The present embodiment is specified to obtain that voice data predicted value is A, vibration data predicted value is B, magnetic field data predicted value is
C, wherein voice data, vibration data are interfered to obtain predicted value to be A=0, B=0, and the predicted value of magnetic field data is normal,
The prediction data for then giving up voice data and vibration data, using magnetic field data predicted value as final tachometer value, i.e., finally
Tachometer value be C；Certainly, voice data, vibration data are interfered to obtain predicted value when being maximum, also give up sound number
According to the prediction data with vibration data, using magnetic field data predicted value as final tachometer value.
Finally tachometer value is checked to user as the result is shown.
Referring to fig. 2, the present invention also provides a kind of rotation-speed measuring device for merging multifrequency nature data, the tachometric survey dresses
Set the rotating speed measurement method using the fusion multifrequency nature data, comprising: sensor module, display module and master control mould
Block.
The sensor module include for measuring the magnetometer of magnetic field data, the microphone for measuring voice data and
For measuring the acceleration transducer of vibration data.
The rotation-speed measuring device further includes wireless module and the external equipment for showing information, passes through the wireless mould
Relevant information is sent to external equipment and shown by block, and the relevant information includes tachometer value, shaft turnning circle, each characteristics of signals
Curve predicted value comparison diagram corresponding with three kinds of characteristics.
Embodiment 2:
The present embodiment is specified to obtain that voice data predicted value is A, vibration data predicted value is B, magnetic field data predicted value is
C, wherein magnetic field data, voice data and vibration data are not affected by interference, and magnetic field data, voice data and vibration is arranged
The corresponding weight of data is identical, and obtaining final tachometer value is (A+B+C)/3.
Remaining step and device are same as Example 1, and just no longer this is repeated.
Embodiment 3:
The present embodiment is specified to obtain that voice data predicted value is A, vibration data predicted value is B, magnetic field data predicted value is
C, wherein voice data is interfered to obtain predicted value as A=0, and the predicted value of vibration data and magnetic field data is normal, then gives up
The predicted value for abandoning voice data, obtaining final tachometer value is (B+C)/2；
Remaining step and device are same as Example 1, and just no longer this is repeated.
Embodiment 4:
The present embodiment is specified to obtain that voice data predicted value is A, vibration data predicted value is B, magnetic field data predicted value is
C, it is B=0 that vibration data, which is interfered to obtain predicted value, in the present embodiment, and the predicted value of voice data and magnetic field data is just
Often, then the predicted value for giving up voice data, obtaining final tachometer value is (A+C)/2；
Remaining step and device are same as Example 1, and just no longer this is repeated.
Embodiment 5:
Voice data described in the present embodiment, vibration data and magnetic field data are undisturbed, the voice data
Predicted value is 200, and the predicted value of vibration data is 100, and the predicted value of magnetic field data is 101, due to the predicted value of voice data
It differs larger with the predicted value of vibration data and magnetic field data, then gives up the prediction data of voice data, obtain final revolving speed
Value is (100+101)/2=100.5；
Similarly, when there are the prediction value differences of the predicted value of any one and remaining the two in magnetic field, sound and vibration data
Away from it is larger when, then give up the biggish data of gap, take the average value of close predicted value as final tachometer value.
Remaining step and device are same as Example 1, and just no longer this is repeated.
The method of the present invention, can by acquiring a variety of rotary speed property data and obtaining final tachometer value by series of computation
The revolving speed of motor can accurately be still measured after certain rotary speed property data is interfered, and it is unstable effectively to solve existing method
Fixed and low accuracy rate problem.
The present invention also provides a kind of rotation-speed measuring devices for merging multifrequency nature data, acquire magnetic field number by magnetometer
According to acquiring voice data by microphone, acquire vibration data by acceleration transducer, and handle and count by main control module
Motor speed is calculated, the present apparatus is not necessarily to sensor installation on the rotating shaft, device need to be only attached to motor housing or hand-held
Measurement, it is easy to use, solve the problems, such as existing apparatus installation trouble.
Since in the case where not strong magnetic disturbance, magnetic field data stability is high, friction shaking, noise interference not will receive
Deng influence, it is generally the case that magnetic field is in stable state, will not occur larger fluctuation in a short time, therefore pass through magnetic field number
It is merged according to plus voice data and vibration data sound, tachometric survey precision can be effectively improved.
Above embodiments are only to illustrate technical solution of the present invention rather than its limitations, although above-described embodiment pair
The present invention has carried out specific description, and related technical personnel should be appreciated that and can still carry out to a specific embodiment of the invention
Modification or equivalent replacement, and without departing from any modification of spirit and scope of the invention and equivalent replacement, it should all cover at this
Among the scope of the claims of invention.
Claims (9)
1. a kind of rotating speed measurement method for merging multifrequency nature data, which is characterized in that the described method includes:
Acquire more than one motor speed performance data；
The rotary speed property data are handled using auto-correlation function, obtain the periodic signal of data waveform；
The frequency of corresponding data waveform is obtained by algorithmic transformation；
It will be merged in respective frequencies input data fusion forecasting model, obtain the tachometer value of the motor.
2. a kind of rotating speed measurement method for merging multifrequency nature data according to claim 1, which is characterized in that the electricity
Machine rotary speed property data include magnetic field data, voice data and vibration data.
3. a kind of rotating speed measurement method for merging multifrequency nature data according to claim 1, which is characterized in that described
Rotary speed property data are handled further include: are gone using low-pass filtering or wavelet processing methods to the rotary speed property data of acquisition
Except white noise.
4. a kind of rotating speed measurement method for merging multifrequency nature data according to claim 1, which is characterized in that the calculation
Method is that Fast Fourier Transform (FFT) or Chrip-Z are converted.
5. a kind of rotating speed measurement method for merging multifrequency nature data according to claim 1, which is characterized in that the number
It is Extended Kalman filter or Hidden Markov prediction model according to fusion forecasting model.
6. a kind of rotating speed measurement method for merging multifrequency nature data according to claim 2, which is characterized in that the number
Include: according to fusion forecasting
When magnetic field, vibration and voice data are interfered, when so that corresponding predicted value being 0 or maximum, then give up this feature number
According to；
When larger there are the predicted value gap of the predicted value of any one and remaining the two in magnetic field, sound and vibration data,
Then give up the biggish data of gap, similar predicted value is averaged as final tachometer value；
When the corresponding predicted value of all data is close, the weight of every kind of data is set, by predicted value multiplied by corresponding weight
Obtain final tachometer value.
7. a kind of rotation-speed measuring device for merging multifrequency nature data, which is characterized in that the rotation-speed measuring device is applied as weighed
Benefit requires a kind of rotating speed measurement method of fusion multifrequency nature data described in 1-6 any one, comprising: sensor module is shown
Show module and main control module.
8. a kind of rotation-speed measuring device for merging multifrequency nature data according to claim 7, which is characterized in that the biography
Sensor module include for measuring the magnetometer of magnetic field data, the microphone for measuring voice data and for measuring vibration number
According to acceleration transducer.
9. a kind of rotation-speed measuring device for merging multifrequency nature data according to claim 7, which is characterized in that further include
Wireless module and external equipment for showing relevant information, are sent to external equipment for relevant information by the wireless module
It has been shown that, the relevant information includes tachometer value, shaft turnning circle, each characteristics of signals curve predicted value corresponding with three kinds of characteristics
Comparison diagram.
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Citations (40)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5657957A (en) * | 1979-10-16 | 1981-05-20 | Matsushita Electric Ind Co Ltd | Revolution detector |
| JPS61107164A (en) * | 1984-10-31 | 1986-05-26 | Mitsubishi Electric Corp | Apparatus for detecting rotary speed |
| SU1296940A1 (en) * | 1981-08-07 | 1987-03-15 | Ю.М.Романенко | Transducer of shaft rotational speed |
| CN88201024U (en) * | 1988-01-26 | 1988-09-07 | 大连工学院 | Magnetoelectric pulse signals induction device |
| CN1036268A (en) * | 1988-03-31 | 1989-10-11 | 海德堡印刷机械股份公司 | Measure the method and the device of rotating speed |
| JPH04331370A (en) * | 1991-05-03 | 1992-11-19 | Horiba Ltd | Rotational speed detector |
| JPH05297009A (en) * | 1992-04-23 | 1993-11-12 | Nec Home Electron Ltd | Speed detection device |
| JPH0972730A (en) * | 1995-09-05 | 1997-03-18 | Suzuki Motor Corp | Traveling distance correcting method for motor-cycle |
| JP3412289B2 (en) * | 1994-10-25 | 2003-06-03 | 株式会社デンソー | Electromagnetic rotation detector |
| US6816804B1 (en) * | 2003-06-04 | 2004-11-09 | Visteon Global Technologies, Inc. | System and method for estimating velocity using reliability indexed sensor fusion |
| CN1704760A (en) * | 2004-05-25 | 2005-12-07 | 曹广忠 | Automobile engine speed measurement apparatus and method |
| US7034711B2 (en) * | 2001-08-07 | 2006-04-25 | Nsk Ltd. | Wireless sensor, rolling bearing with sensor, management apparatus and monitoring system |
| US20080025640A1 (en) * | 2006-07-25 | 2008-01-31 | Itt Manufacturing Enterprises, Inc. | Motion compensated image registration for overlaid/fused video |
| CN201016985Y (en) * | 2007-03-12 | 2008-02-06 | 武汉事达电气股份有限公司 | Water turbine programmable rotation rate signal apparatus based on voting output mode |
| CN101266717A (en) * | 2008-04-25 | 2008-09-17 | 北京科技大学 | A car detection recognition system and method based on MEMS sensor |
| CN101634659A (en) * | 2008-07-23 | 2010-01-27 | 中国科学院自动化研究所 | Rotating speed or speed measuring device and detection method based on accelerometer |
| CN102053166A (en) * | 2009-10-07 | 2011-05-11 | 罗伯特.博世有限公司 | Method for determining speed |
| CN102095885A (en) * | 2010-10-28 | 2011-06-15 | 华南理工大学 | Vibration measuring method of engine speed by applying four-point energy centrobaric correction method |
| CN102323437A (en) * | 2011-05-25 | 2012-01-18 | 李恩邦 | Method for measuring rotating speed of engine of motor vehicle and device |
| CN102590542A (en) * | 2011-01-07 | 2012-07-18 | 江西华电电力有限责任公司 | Speed measuring device and speed measuring method for screw expansion power machine |
| CN102645549A (en) * | 2012-04-25 | 2012-08-22 | 浙江大学城市学院 | Direct current motor rotate speed detector based on FFT (Fast Fourier Transform Algorithm) and detection method of direct current motor rotate speed detector |
| CN102854332A (en) * | 2012-09-17 | 2013-01-02 | 华北电力大学 | Device and method for measuring rotational speed on basis of electrostatic sensor array and data fusion |
| KR101331956B1 (en) * | 2011-03-21 | 2013-11-21 | 엘아이지넥스원 주식회사 | High precision ins module using analog mems sensor and operating method thereof |
| CN105548595A (en) * | 2015-12-18 | 2016-05-04 | 河北省电力建设调整试验所 | Rotation speed detection method for different levels of shafts of wind power gear case |
| CN106353523A (en) * | 2016-07-22 | 2017-01-25 | 吴明 | Method of using double-rotating-speed sensor to measure vehicle speed |
| CN106872721A (en) * | 2017-02-14 | 2017-06-20 | 浙江聚励云机械科技有限公司 | A kind of engine speed based on storage battery cathode voltage calculates method |
| CN107037235A (en) * | 2016-11-28 | 2017-08-11 | 东南大学 | A kind of braking glide quantity flexible measurement method and measurement apparatus |
| CN107843740A (en) * | 2017-10-31 | 2018-03-27 | 湖南大学 | It is a kind of to merge vibration and the rotating speed measurement method of voice signal spectrum signature |
| CN107918032A (en) * | 2017-11-14 | 2018-04-17 | 湖南大学 | A kind of rotating speed measurement method of space multi-source voice signal fusion |
| CN108137074A (en) * | 2015-09-04 | 2018-06-08 | 看门人系统公司 | The estimation of wheeled vehicle |
| CN108363853A (en) * | 2018-01-31 | 2018-08-03 | 浙江浙大鸣泉科技有限公司 | A kind of engine speed measurement method based on multisensor correlation denoising |
| CN108387205A (en) * | 2018-01-20 | 2018-08-10 | 西安石油大学 | The measurement method of drilling tool attitude measurement system based on Fusion |
| CN108982898A (en) * | 2018-08-29 | 2018-12-11 | 南京智鹤电子科技有限公司 | The method and system of supervision control engineering Mechanical Running Condition |
| CN109116048A (en) * | 2018-08-29 | 2019-01-01 | 西安科技大学 | A kind of rotating speed of automobile engine detection and control method |
| CN109142780A (en) * | 2018-11-02 | 2019-01-04 | 徐州瑞田工程机械有限公司 | A kind of rotating speed of automobile engine detection system |
| CN109387662A (en) * | 2017-08-14 | 2019-02-26 | 广西万创数据科技有限责任公司 | A kind of motor speed measuring method based on rotor current |
| CN109752565A (en) * | 2019-03-02 | 2019-05-14 | 吉林大学 | A kind of tractor engine measurement of rotating speed meter |
| CN109782325A (en) * | 2019-03-06 | 2019-05-21 | 西南交通大学 | Based on particle filter and train speed estimation method combined of multi-sensor information |
| CN109813307A (en) * | 2019-02-26 | 2019-05-28 | 大连海事大学 | A kind of navigation system and its design method of unmanned boat Fusion |
| CN109900296A (en) * | 2019-03-22 | 2019-06-18 | 华南农业大学 | A kind of agricultural machinery working travel speed detection system and detection method |
-
2019
- 2019-06-27 CN CN201910565749.3A patent/CN110308300B/en active Active
Patent Citations (40)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5657957A (en) * | 1979-10-16 | 1981-05-20 | Matsushita Electric Ind Co Ltd | Revolution detector |
| SU1296940A1 (en) * | 1981-08-07 | 1987-03-15 | Ю.М.Романенко | Transducer of shaft rotational speed |
| JPS61107164A (en) * | 1984-10-31 | 1986-05-26 | Mitsubishi Electric Corp | Apparatus for detecting rotary speed |
| CN88201024U (en) * | 1988-01-26 | 1988-09-07 | 大连工学院 | Magnetoelectric pulse signals induction device |
| CN1036268A (en) * | 1988-03-31 | 1989-10-11 | 海德堡印刷机械股份公司 | Measure the method and the device of rotating speed |
| JPH04331370A (en) * | 1991-05-03 | 1992-11-19 | Horiba Ltd | Rotational speed detector |
| JPH05297009A (en) * | 1992-04-23 | 1993-11-12 | Nec Home Electron Ltd | Speed detection device |
| JP3412289B2 (en) * | 1994-10-25 | 2003-06-03 | 株式会社デンソー | Electromagnetic rotation detector |
| JPH0972730A (en) * | 1995-09-05 | 1997-03-18 | Suzuki Motor Corp | Traveling distance correcting method for motor-cycle |
| US7034711B2 (en) * | 2001-08-07 | 2006-04-25 | Nsk Ltd. | Wireless sensor, rolling bearing with sensor, management apparatus and monitoring system |
| US6816804B1 (en) * | 2003-06-04 | 2004-11-09 | Visteon Global Technologies, Inc. | System and method for estimating velocity using reliability indexed sensor fusion |
| CN1704760A (en) * | 2004-05-25 | 2005-12-07 | 曹广忠 | Automobile engine speed measurement apparatus and method |
| US20080025640A1 (en) * | 2006-07-25 | 2008-01-31 | Itt Manufacturing Enterprises, Inc. | Motion compensated image registration for overlaid/fused video |
| CN201016985Y (en) * | 2007-03-12 | 2008-02-06 | 武汉事达电气股份有限公司 | Water turbine programmable rotation rate signal apparatus based on voting output mode |
| CN101266717A (en) * | 2008-04-25 | 2008-09-17 | 北京科技大学 | A car detection recognition system and method based on MEMS sensor |
| CN101634659A (en) * | 2008-07-23 | 2010-01-27 | 中国科学院自动化研究所 | Rotating speed or speed measuring device and detection method based on accelerometer |
| CN102053166A (en) * | 2009-10-07 | 2011-05-11 | 罗伯特.博世有限公司 | Method for determining speed |
| CN102095885A (en) * | 2010-10-28 | 2011-06-15 | 华南理工大学 | Vibration measuring method of engine speed by applying four-point energy centrobaric correction method |
| CN102590542A (en) * | 2011-01-07 | 2012-07-18 | 江西华电电力有限责任公司 | Speed measuring device and speed measuring method for screw expansion power machine |
| KR101331956B1 (en) * | 2011-03-21 | 2013-11-21 | 엘아이지넥스원 주식회사 | High precision ins module using analog mems sensor and operating method thereof |
| CN102323437A (en) * | 2011-05-25 | 2012-01-18 | 李恩邦 | Method for measuring rotating speed of engine of motor vehicle and device |
| CN102645549A (en) * | 2012-04-25 | 2012-08-22 | 浙江大学城市学院 | Direct current motor rotate speed detector based on FFT (Fast Fourier Transform Algorithm) and detection method of direct current motor rotate speed detector |
| CN102854332A (en) * | 2012-09-17 | 2013-01-02 | 华北电力大学 | Device and method for measuring rotational speed on basis of electrostatic sensor array and data fusion |
| CN108137074A (en) * | 2015-09-04 | 2018-06-08 | 看门人系统公司 | The estimation of wheeled vehicle |
| CN105548595A (en) * | 2015-12-18 | 2016-05-04 | 河北省电力建设调整试验所 | Rotation speed detection method for different levels of shafts of wind power gear case |
| CN106353523A (en) * | 2016-07-22 | 2017-01-25 | 吴明 | Method of using double-rotating-speed sensor to measure vehicle speed |
| CN107037235A (en) * | 2016-11-28 | 2017-08-11 | 东南大学 | A kind of braking glide quantity flexible measurement method and measurement apparatus |
| CN106872721A (en) * | 2017-02-14 | 2017-06-20 | 浙江聚励云机械科技有限公司 | A kind of engine speed based on storage battery cathode voltage calculates method |
| CN109387662A (en) * | 2017-08-14 | 2019-02-26 | 广西万创数据科技有限责任公司 | A kind of motor speed measuring method based on rotor current |
| CN107843740A (en) * | 2017-10-31 | 2018-03-27 | 湖南大学 | It is a kind of to merge vibration and the rotating speed measurement method of voice signal spectrum signature |
| CN107918032A (en) * | 2017-11-14 | 2018-04-17 | 湖南大学 | A kind of rotating speed measurement method of space multi-source voice signal fusion |
| CN108387205A (en) * | 2018-01-20 | 2018-08-10 | 西安石油大学 | The measurement method of drilling tool attitude measurement system based on Fusion |
| CN108363853A (en) * | 2018-01-31 | 2018-08-03 | 浙江浙大鸣泉科技有限公司 | A kind of engine speed measurement method based on multisensor correlation denoising |
| CN109116048A (en) * | 2018-08-29 | 2019-01-01 | 西安科技大学 | A kind of rotating speed of automobile engine detection and control method |
| CN108982898A (en) * | 2018-08-29 | 2018-12-11 | 南京智鹤电子科技有限公司 | The method and system of supervision control engineering Mechanical Running Condition |
| CN109142780A (en) * | 2018-11-02 | 2019-01-04 | 徐州瑞田工程机械有限公司 | A kind of rotating speed of automobile engine detection system |
| CN109813307A (en) * | 2019-02-26 | 2019-05-28 | 大连海事大学 | A kind of navigation system and its design method of unmanned boat Fusion |
| CN109752565A (en) * | 2019-03-02 | 2019-05-14 | 吉林大学 | A kind of tractor engine measurement of rotating speed meter |
| CN109782325A (en) * | 2019-03-06 | 2019-05-21 | 西南交通大学 | Based on particle filter and train speed estimation method combined of multi-sensor information |
| CN109900296A (en) * | 2019-03-22 | 2019-06-18 | 华南农业大学 | A kind of agricultural machinery working travel speed detection system and detection method |
Non-Patent Citations (3)
| Title |
|---|
| JUN G L 等: ""Elimination of Errors in ESG Case Rotation with Low Speed by Data Fusion"", 《JOURNAL OF CHINESE INERTIAL TECHNOLOGY》 * |
| 蔡开龙 等: ""基于数据融合的某涡扇发动机给定转速研究"", 《传感器与微系统》 * |
| 马燕: ""基于振动和噪声的发动机瞬时转速测量的研究"", 《万方》 * |
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