CN103336443B - A kind of time frequency signal experimental system based on industry spot data - Google Patents

A kind of time frequency signal experimental system based on industry spot data Download PDF

Info

Publication number
CN103336443B
CN103336443B CN201310299600.8A CN201310299600A CN103336443B CN 103336443 B CN103336443 B CN 103336443B CN 201310299600 A CN201310299600 A CN 201310299600A CN 103336443 B CN103336443 B CN 103336443B
Authority
CN
China
Prior art keywords
signal
computer
signal generator
industrial
collecting card
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201310299600.8A
Other languages
Chinese (zh)
Other versions
CN103336443A (en
Inventor
孙斌
刘彤
赵玉晓
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Jiliang University
Original Assignee
China Jiliang University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Jiliang University filed Critical China Jiliang University
Priority to CN201310299600.8A priority Critical patent/CN103336443B/en
Publication of CN103336443A publication Critical patent/CN103336443A/en
Application granted granted Critical
Publication of CN103336443B publication Critical patent/CN103336443B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention relates to a kind of time frequency signal experimental system based on industry spot data. The present invention includes computer, signal generator, data collecting card and LabVIW software; Signal generator, data collecting card are all connected with computer, LabVIEW software is installed on computer, described signal generator produces different wave signal, comprise simulate signal and industrial signal, the various waveform signals that the direct collection signal generator of described data collecting card produces, send computer to, and show on computers; By time frequency analysis algorithms different in LabVIEW software, process the multiple analog industry signal collecting. Computer not only can produce analog signal by control signal generator, can also produce multiple industrial signal, at experiment lab simulation industrial data gatherer process, facilitates user to carry out the signal analysis of truth.

Description

A kind of time frequency signal experimental system based on industry spot data
Technical field
The invention belongs to signal processing and analysis process field, relate to a kind of time frequency signal experimental system based on industry spot data.
Background technology
Existing signal processing and analysis system is all to gather actual signal to carry out analyzing and processing, or the analog signal directly software being produced is analyzed, and the method for analysis is more single, not contrast property, in a lot of situations, a certain analytical method is all ineffective to all signals. The main incomplete aspect existing has:
1. most systems is just analyzed actual signal, or single analysis mode signal. The actual signal of analyzing needs real-time measurement storage on the spot, could be used for the analysis of some specific function. And analysis mode signal only can not meet again the analysis demand of system for actual signal.
2. whether original signal and collection signal do not contrast, cannot learn system acquisition signal compared to the situation of change of original signal and be more completely to reappear original signal.
3. comparatively single for the Time-Frequency Analysis Method of signal, can not use several different methods to carry out analyzing and processing to same signal, cannot find out optimum processing method.
Summary of the invention
The present invention is directed to the deficiency in prior art, a kind of time frequency signal experimental system based on industry spot data is provided.
The present invention includes computer, signal generator, data collecting card and LabVIEW software.
Signal generator, data collecting card are all connected with computer, LabVIEW software is installed on computer, described signal generator produces different wave signal, comprise simulate signal and industrial signal, the various waveform signals that the direct collection signal generator of described data collecting card produces, send computer to, and show on computers; By time frequency analysis algorithms different in LabVIEW software, process the simulation industry signal collecting.
Described simulate signal is the data of some known features, for the accuracy of validation signal processing method, simulate signal parameter is sent by signal generator after setting on computers, after gathering by data collecting card, select different signal processing methods to analyze;
Described industrial signal comprises multiple biphase gas and liquid flow dynamic pressure drop signal based on different flow patterns and the acceleration transducer signals of gear different faults.
In described LabVIEW software, include multiple different time frequency analysis algorithm, comprise short time discrete Fourier transform, adaptive optimal accounting method, Hilbert-Huang transform, wavelet transformation, empirical modal analysis algorithm, also comprise flow pattern identification and fault diagnosis algorithm for the acceleration transducer signals of biphase gas and liquid flow dynamic pressure drop signal and gear different faults.
Beneficial effect of the present invention: computer not only can produce analog signal by control signal generator, can also produce multiple industrial signal, at experiment lab simulation industrial data gatherer process, facilitates user to carry out the signal analysis of truth. In the analysis and processing module to signal, various analysis is combined, facilitate user to get information about the analytical effect of distinct methods to signal. Flow pattern identification and fault diagnosis algorithm have been developed for the acceleration transducer signals of biphase gas and liquid flow dynamic pressure drop signal and gear different faults respectively, expansion practical application function simultaneously.
Brief description of the drawings
Fig. 1 is structural representation of the present invention.
Fig. 2 is computer software flow chart.
Detailed description of the invention
The present invention has developed a kind of time frequency analysis system based on industry spot signal and multiple simulate signal by signal generator, data collecting card and virtual instrument software. Native system mainly comprises three parts, and signal generation divides, signals collecting part and signal analysis part. As shown in Figure 1, signal generation divides (signal generator) and signals collecting part (data collecting card) to carry out communication by USB interface and computer, settling signal analysis on computers (based on LabVIEW software analysis system), synchronous signal generator is connected by probe with data collecting card.
Signal generation divides mainly and is made up of signal generator. Signal generator can produce two kinds of signals: one is simulate signal, is produced by computer software control signal generator; One is industrial signal, and by computer, by the industrial signal input signal generator being collected, signal generator just can produce real industrial signal in laboratory like this, thereby simulation industrial data gatherer process carries out subsequent analysis.
Signal generator is carried out the control of signal generation by the control program of LabVIEW software programming, comprise which kind of signal, setting signal frequency, amplitude etc. occur. Simulate signal is the data of some known features, not only can be for the accuracy of validation signal processing method, and can help user better to understand the pluses and minuses of unlike signal processing method. Signal generator can produce multiple simulate signal, comprise the baseband signals such as sine wave signal, square-wave signal, impact signal, white noise signal, Gaussian noise signal, composite signal, haversine signal, after simulate signal parameter sets on computers, sent by signal generator, after gathering by data collecting card, select different signal processing methods to analyze. Industry signal mainly comprises biphase gas and liquid flow dynamic pressure drop signal based on different flow patterns and the acceleration transducer signals of gear different faults, and above-mentioned signal deposits computer in text formatting, sends, for subsequent analysis when use by signal generator.
Signals collecting part chief component is data collecting card, is used for the signal that collection signal generator sends. Data collecting card connects computer by USB, by gathering the characteristic parameters such as control program control sample rate in computer, and imports the signal collecting into computer.
Signal analysis part realizes on computers. The signal processing and analysis treatment system based on LabVIEW of writing is housed on computer, can produce industrial signal or analog signal by control signal generator, the signal that reproduction gathers, controls the acquisition parameter of data collecting card, and receives, stores the signal that data collecting card gathers.
The core of signal processing and analysis treatment system is to analyze the time frequency analysis algorithm of various signals. Comprise that self-adaptive kernel analysis (ADT), wavelet transformation analysis (wavelet), taper distribute (CSD), Choi-WILLIAMS-DARLING Ton distributes (CWD), empirical mode decomposition (EMD), Eugene Wigner-Willie distributes (WVD), Hilbert-Huang transform (HHT), rich (GABOR), adaptive optimal accounting method (AOK), the Short Time Fourier Transform (STFT) etc. of converting of gal, even if each algorithm has different treatment effects to same signal. Therefore, can the various algorithms of comparative study, find out the optimal algorithm for certain signal. Secondly, flow pattern identification and fault diagnosis algorithm have been developed for the acceleration transducer signals of biphase gas and liquid flow dynamic pressure drop signal and gear different faults respectively. The discrimination that each time frequency analysis algorithm is last and diagnosis are all different, can comparative analysis go out optimum identification and diagnostic method.
The workflow of system as shown in Figure 2. which kind of first select signal to analyze, if analog signal, need computer to select to arrange to signal generator, determine which kind of signal occurs, the frequency of signal, amplitude, phase place are how many, if industrial signal needs first by the industrial signal gathering, pass through ArbExpress software loading to signal generator by computer, thereby make signal generator send needed signal. signal is gathered by data collecting card by probe afterwards, and the parameter of capture card is arranged by acquisition system in computer. the signal gathering carries out 10 kinds of different time frequency analysis on computers, comprise self-adaptive kernel analysis (ADT), wavelet transformation analysis (wavelet), taper distribution (CSD), Choi-WILLIAMS-DARLING Ton distribution (CWD), empirical mode decomposition (EMD), Eugene Wigner-Willie distribution (WVD), Hilbert-Huang transform (HHT), Jia Bo converts (GABOR), adaptive optimal accounting method (AOK), Short Time Fourier Transform (STFT) etc., each method is all not quite similar to the analytical effect of same signal, different processing methods is applied to no signal. flow pattern identification and fault diagnosis algorithm have been developed for the acceleration transducer signals of biphase gas and liquid flow dynamic pressure drop signal and gear different faults respectively, expansion practical application function simultaneously. finally, can be by the result store of signal processing, printing reports.

Claims (1)

1. the time frequency signal experimental system based on industry spot data, comprises computer, signal generator, data collecting card and LabVIEW software, it is characterized in that:
Signal generator, data collecting card are all connected with computer, LabVIEW software is installed on computer, described signal generator produces different wave signal, comprise simulate signal and industrial signal, the various waveform signals that the direct collection signal generator of described data collecting card produces, send computer to, and show on computers; By time frequency analysis algorithms different in LabVIEW software, process the industrial signal collecting;
Described simulate signal is the data of some known features, for the accuracy of validation signal processing method, simulate signal parameter is sent by signal generator after setting on computers, after gathering by data collecting card, select different signal processing methods to analyze;
Described industrial signal source is from computer, industry signal is present in computer with text formatting, when use by computer through ArbExpress software loading to signal generator, industrial signal comprises multiple biphase gas and liquid flow dynamic pressure drop signal based on different flow patterns and the acceleration transducer signals of gear different faults;
In described LabVIEW software, include multiple different time frequency analysis algorithm, comprise short time discrete Fourier transform, adaptive optimal accounting method, Hilbert-Huang transform, wavelet transformation, empirical modal analysis algorithm, also comprise flow pattern identification and fault diagnosis algorithm for the acceleration transducer signals of biphase gas and liquid flow dynamic pressure drop signal and gear different faults.
CN201310299600.8A 2013-07-17 2013-07-17 A kind of time frequency signal experimental system based on industry spot data Expired - Fee Related CN103336443B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310299600.8A CN103336443B (en) 2013-07-17 2013-07-17 A kind of time frequency signal experimental system based on industry spot data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310299600.8A CN103336443B (en) 2013-07-17 2013-07-17 A kind of time frequency signal experimental system based on industry spot data

Publications (2)

Publication Number Publication Date
CN103336443A CN103336443A (en) 2013-10-02
CN103336443B true CN103336443B (en) 2016-05-18

Family

ID=49244635

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310299600.8A Expired - Fee Related CN103336443B (en) 2013-07-17 2013-07-17 A kind of time frequency signal experimental system based on industry spot data

Country Status (1)

Country Link
CN (1) CN103336443B (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ES2173778B1 (en) * 1999-11-25 2003-12-16 Univ Alcala Henares ELECTRONIC SYSTEM FOR THE INTEGRATED DEVELOPMENT OF REAL-TIME CONTROL APPLICATIONS OF MOVEMENT ACTUATORS BASED ON DECONTINUOUS MOTORS.
CN201673221U (en) * 2010-05-18 2010-12-15 江汉大学 Signal testing platform based on virtual instrument

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ES2173778B1 (en) * 1999-11-25 2003-12-16 Univ Alcala Henares ELECTRONIC SYSTEM FOR THE INTEGRATED DEVELOPMENT OF REAL-TIME CONTROL APPLICATIONS OF MOVEMENT ACTUATORS BASED ON DECONTINUOUS MOTORS.
CN201673221U (en) * 2010-05-18 2010-12-15 江汉大学 Signal testing platform based on virtual instrument

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
"Experimental Teaching System of the Assembly Line Heating Furnace Temperature Control Based on LabVIEW";Peng Zhao 等;《2012 International Conference on System Science and Engineering》;20120702;全文 *
"基于LabVIEW的数据采集与信号处理系统设计";谢冰 等;《现代电子技术》;20110715;第34卷(第14期);全文 *
"基于LabVIEW的气液两相流实验教学系统的开发";孙斌 等;《实验技术与管理》;20120430;第29卷(第4期);第124页左栏-125页右栏 *
"基于LabVIEW的流水线炉温控制系统设计";孙斌 等;《实验科学与技术》;20111031;第9卷(第5期);全文 *

Also Published As

Publication number Publication date
CN103336443A (en) 2013-10-02

Similar Documents

Publication Publication Date Title
Manhertz et al. STFT spectrogram based hybrid evaluation method for rotating machine transient vibration analysis
CN101634605B (en) Intelligent gearbox fault diagnosis method based on mixed inference and neural network
CN109857251A (en) Gesture identification control method, device, storage medium and the equipment of intelligent appliance
Lang et al. Time-frequency analysis of plant-wide oscillations using multivariate intrinsic time-scale decomposition
CN102323480B (en) Electric energy quality analyzing method based on Hilbert-Huang transform
CN105373472B (en) A kind of method of testing and test system of the statistical accuracy based on database
CN103412557A (en) Industrial fault detection and diagnostic method suitable for nonlinear process on-line monitoring
CN105488520A (en) Multi-resolution singular-spectrum entropy and SVM based leakage acoustic emission signal identification method
CN105571638A (en) Machinery device fault combination prediction system and method
CN101988864B (en) Signal generator for airplane ground test and application method thereof
CN202582586U (en) Signal acquisition instrument online calibration system
CN104007981A (en) Human-computer interaction interface design method based on error-cognition mapping model
Rohrer et al. Tractor CAN bus interface tools and application development for real-time data analysis
CN103267652A (en) Intelligent online diagnosis method for early failures of equipment
CN102012262A (en) Engine exhaust noise signal acquisition system
CN103336443B (en) A kind of time frequency signal experimental system based on industry spot data
Wang et al. Variational generalized nonlinear mode decomposition: Algorithm and applications
Hao et al. Novel method for non-stationary signals via high-concentration time–frequency analysis using SSTFrFT
CN117634905A (en) Power grid business data feature extraction method
CN104068851B (en) Eeg signal acquisition system and method based on FPGA
Li et al. Mono-trend mode decomposition for robust feature extraction from vibration signals of rotating Machinery
CN105156901B (en) A kind of optical fiber early warning system noise-reduction method and device based on wavelet analysis
CN111292767B (en) Audio event detection method and device and equipment
CN202372811U (en) Electromechanical-hydraulic hybrid equipment real-time fault diagnosis device based on data mining algorithm
CN102507225B (en) Dynamic test method for rudder system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160518

Termination date: 20180717

CF01 Termination of patent right due to non-payment of annual fee