CN108419199A - Fault detection method, device and the equipment of acoustic signals, readable medium - Google Patents

Fault detection method, device and the equipment of acoustic signals, readable medium Download PDF

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Publication number
CN108419199A
CN108419199A CN201710074033.4A CN201710074033A CN108419199A CN 108419199 A CN108419199 A CN 108419199A CN 201710074033 A CN201710074033 A CN 201710074033A CN 108419199 A CN108419199 A CN 108419199A
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signal
acoustic signals
output signal
acoustic
acoustic wave
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CN201710074033.4A
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陶震
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Alibaba Group Holding Ltd
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Alibaba Group Holding Ltd
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Priority to CN201710074033.4A priority Critical patent/CN108419199A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04RLOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R29/00Monitoring arrangements; Testing arrangements
    • H04R29/001Monitoring arrangements; Testing arrangements for loudspeakers

Abstract

The application provides a kind of fault detection method of acoustic signals, device and electronic equipment, readable medium, the method includes:The test signal of preset frequency is generated, and the test signal is input in detected object;The test signal is based on the first acoustic signals and second acoustic wave signal generates, and first acoustic signals are different from the waveform of second acoustic wave signal;The output signal that the first acoustic signals are identified from the output signal of the detected object, the output signal based on the first acoustic signals isolate the output signal of second acoustic wave signal;Determine whether the detected object breaks down based on the output signal of second acoustic wave signal.Implement the application, is intercepted without human ear to playing audio, you can rapidly and accurately determine whether there is failure.

Description

Fault detection method, device and the equipment of acoustic signals, readable medium
Technical field
This application involves the fault detection method of signal processing technology field more particularly to acoustic signals, device and equipment, Readable medium.
Background technology
Many electronic equipments have audio playing function, if realizing that the related hardware of audio playing function or software are deposited In failure, such as:It the component of processing such as modified audio signal, processed there are failure, the audio signal played can be caused It is distorted, such as:Echo, noise, modified tone etc..
At present, it usually needs manually the audio signal played is intercepted, to recognize whether failure.But it should Mode human time input is big, test period is long, and automation is poor, is easy to miss unconspicuous failure.
Invention content
In view of this, the application provides a kind of fault detection method of acoustic signals, device and equipment, readable medium.
Specifically, the application is achieved by the following technical solution:
According to the embodiment of the present application in a first aspect, providing a kind of fault detection method of acoustic signals, including step:
The test signal of preset frequency is generated, and the test signal is input in detected object;The test letter It number is generated based on the first acoustic signals and second acoustic wave signal, the waveform of first acoustic signals and second acoustic wave signal is not Together;
The output signal of the first acoustic signals is identified from the output signal of the detected object, is based on the first sound wave The output signal of signal isolates the output signal of second acoustic wave signal;
Determine whether the detected object breaks down based on the output signal of second acoustic wave signal.
According to the second aspect of the embodiment of the present application, a kind of electronic equipment is provided, including:
Processor;
Store the memory of processor-executable instruction;
Wherein, the processor is coupled in the memory, the program instruction for reading the memory storage, and makees For response, following operation is executed:
The test signal of preset frequency is generated, and the test signal is input in detected object;The test letter It number is generated based on the first acoustic signals and second acoustic wave signal, the waveform of first acoustic signals and second acoustic wave signal is not Together;
The output signal of the first acoustic signals is identified from the output signal of the detected object, is based on the first sound wave The output signal of signal isolates the output signal of second acoustic wave signal;
Determine whether the detected object breaks down based on the output signal of second acoustic wave signal.
According to the third aspect of the embodiment of the present application, a kind of failure detector of acoustic signals is provided, including:
Test signal generation module, the test signal for generating preset frequency, and by the test signal be input to by It detects in object;The test signal is based on the first acoustic signals and second acoustic wave signal and generates, first acoustic signals with The waveform of second acoustic wave signal is different;
Output signal acquisition module, for identifying the first acoustic signals from the output signal of the detected object Output signal, the output signal based on the first acoustic signals isolate the output signal of second acoustic wave signal;
Fault detection module, for determining whether the detected object occurs based on the output signal of second acoustic wave signal Failure.
According to the fourth aspect of the embodiment of the present application, one or more machine readable medias are provided, are stored thereon with instruction, When executed by one or more processors so that terminal device executes such as claim the process described above.
Implement embodiment provided by the present application, test signal constructed based on the different acoustic signals of at least two waveforms, A kind of middle acoustic signals are easier to be identified, and the position of another acoustic signals can be determined based on this acoustic signals easy to identify It sets, further detects failure using another acoustic signals, intercepted without human ear to playing audio, you can quickly accurate Failure really is determined whether there is, while time input can also be reduced, test period is reduced, improve the degree of automation.
Description of the drawings
Fig. 1 is the flow chart of the fault detection method of the acoustic signals shown in one exemplary embodiment of the application;
The test signal generated that Fig. 2 a are a kind of rectangular wave shown in one exemplary embodiment of the application and sine wave interlocks;
Fig. 2 b are that another rectangular wave shown in one exemplary embodiment of the application is believed with the test that sine wave staggeredly generates Number;
Fig. 2 c are a kind of block diagrams of system suitable for fault detect shown in one exemplary embodiment of the application;
Fig. 3 is the logic diagram of the failure detector of the acoustic signals shown in one exemplary embodiment of the application;
Fig. 4 is the hardware architecture diagram of the failure detector of the acoustic signals shown in one exemplary embodiment of the application.
Specific implementation mode
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment Described in embodiment do not represent all embodiments consistent with the application.On the contrary, they be only with it is such as appended The example of consistent device and method of some aspects be described in detail in claims, the application.
It is the purpose only merely for description specific embodiment in term used in this application, is not intended to be limiting the application. It is also intended to including majority in the application and "an" of singulative used in the attached claims, " described " and "the" Form, unless context clearly shows that other meanings.It is also understood that term "and/or" used herein refers to and wraps Containing one or more associated list items purposes, any or all may be combined.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the application A little information should not necessarily be limited by these terms.These terms are only used for same type of information being distinguished from each other out.For example, not departing from In the case of the application range, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as One information.Depending on context, word as used in this " if " can be construed to " ... when " or " when ... When " or " in response to determination ".
Many equipment have the function of that audio broadcasting, these audio playing functions are usually assisted by relevant software and hardware It is realized with operation.When realizing the software or hardware existing defects of audio playing function, it may result in audio signal and playing When be distorted, such as echogenicity, noise or modified tone etc..The application for how the event of the audio playing function of detection device Barrier proposes solution.
The scheme of the application is not limited to the fault detect of audio signal, can be applicable to the failure inspection of other sound waves It surveys, such as ultrasonic wave, infrasound etc..The equipment being applicable in can be any equipment with audio playing function, such as various Smart machine (smart mobile phone, PC, notebook, speaker, navigation equipment etc.) with audio playing function and other Electronic equipment with audio playing function;Even, the application be also applied for sound wave that human ear can not perceive (such as ultrasonic wave, Infrasound) playback equipment.
Referring to Fig. 1, Fig. 1 is the flow of the fault detection method of the acoustic signals shown in one exemplary embodiment of the application Figure, the embodiment may comprise steps of S101-S103:
S101:The test signal of preset frequency is generated, and test signal is input in detected object;Test signal base It is generated in the first acoustic signals and second acoustic wave signal, the first acoustic signals are different from the waveform of second acoustic wave signal.
S102:The output signal of the first acoustic signals is identified from the output signal of the detected object, based on the The output signal of one acoustic signals isolates the output signal of second acoustic wave signal.
S103:Determine whether the detected object breaks down based on the output signal of second acoustic wave signal.
In the embodiment of the present application, when signal is distorted, the spectral characteristic of signal can be made to change, it can not be clear Ground identifies the periodic distribution rule of signal, so that being difficult to differentiate between out the specific location of signal, therefore is detected to signal fault Cause difficulty.The application generates test signal using at least two acoustic signals, by taking two kinds of acoustic signals as an example, for description side Just, two kinds of acoustic signals are known respectively as the first acoustic signals and second acoustic wave signal.First acoustic signals can exported It is easier to the signal type being identified afterwards, the output of second acoustic wave signal is identified using the output signal of the first acoustic signals Whether the output signal of the specific location of signal, second acoustic wave signal is faulty for testing detected object.
As an example, the frequency of test signal and amplitude can need to be arranged according to designer, such as:It chooses and second The waveform of acoustic signals distinguishes the first larger acoustic signals, then mixing composition test signal, even if signal is distorted The output signal of the first acoustic signals can be identified according to the difference of two kinds of waveforms, then surveyed according to two kinds of waveform signals Position relationship in trial signal isolates the output signal of second acoustic wave signal.
In order to distinguish specific position of the second acoustic wave signal after output using the output signal of the first acoustic signals It sets, amplitude can be selected to distinguish two kinds of larger acoustic signals.It in one example, can be by the signal with rectangular wave waveform As the first acoustic signals, meanwhile, the amplitude of rectangular wave can be higher than the amplitude of second acoustic wave signal so that rectangular wave and second The spectral characteristic of acoustic signals has recognizable otherness.The occurrence of the amplitude of square-wave signal can be referred to and is detected The distortion degree that object is estimated determines, for example, in some application scenarios, can set the amplitude of square-wave signal to the rising tone One times or more of the amplitude maximum of wave signal.It in other examples, can also be using the signal with rectangular wave waveform as One acoustic signals.
In some examples, to simplify difficulty of test, second acoustic wave signal may be used the signal of sine waveform, pass through it Waveform distortion parameter determine measurand whether there is failure, sinusoidal waveform signal by Fourier transformation after, waveform lose True parameter is indicated with each harmonic component in frequency domain relative to the size (energy value) of first harmonic magnitude.Since different waveforms has not Same definition and measurement method if second acoustic wave signal uses the signal of other waveforms, can pass through phase in other examples The mode answered determines whether second acoustic wave signal is distorted, to determine that measurand whether there is failure.
In other examples, in order to further decrease calculation amount, the output signal of the detected object can be carried out Sampling, then identifies the output signal of the first acoustic signals, the output signal based on the first acoustic signals from sampled signal Isolate the output signal of second acoustic wave signal.Since the output signal of sampling gained is discrete signal, correspondingly, in the rising tone When wave signal uses the signal of sine waveform, if determining measurand with the presence or absence of event by the waveform distortion parameter of signal Barrier can carry out discrete Fourier transform, then each harmonic component phase in waveform distortion parameter frequency domain to second acoustic wave signal The size of first harmonic magnitude is indicated.Sample frequency can be according to the calculated performance of fault test system and the frequency of test signal To set.
Test signal generates after can staggeredly being mixed by two kinds of acoustic signals, it is worthwhile to note that design is not precluded in the application Person generates the mode of test signal as desired by the mode of other signal processings.Fig. 2 a and Fig. 2 b are two kinds of different cycles The test signal that rectangular wave and sine wave staggeredly generate.
By taking Fig. 2 a as an example, can be by the process that the output signal of second acoustic wave signal is isolated in an example:Detection the End position of the output signal of one acoustic signals in each period identifies the defeated of the second waveform signal using end position Go out the initial position of signal, and then the second wave row signal is initially separated out from initial position;In still further embodiment, Ke Yijian The output signal of the first acoustic signals is surveyed in the initial position in each period, the second waveform signal is identified using initial position Output signal end position, and then find since end position the initial position of the second waveform, isolate the second wave row Signal.
In some examples, the output signal of test signal can be carried out signal processing by us, be converted into frequency-region signal, led to The feature of analysis frequency-region signal is crossed to determine whether detected object breaks down.For example, can be by each correspondence in frequency-region signal The energy value of frequency point is compared with anticipation value, judges whether detected object breaks down according to comparison result.Due to quilt Factors, the anticipation values such as the type for detecting object, the degree difference of signal distortion that may occur can be set according to actual test scene It sets.
There may be more than one frequency point to generate deviation in some scenes, in a cycle, be designed to simplify, to each frequency point Energy value when being analyzed, the maximum energy value in each frequency point can be compared with anticipation value, if in acceptable model In enclosing, then it is assumed that failure is not present in detected object, if exceeding acceptable range, is determined as that detected object has event Barrier.
Conversion of the output signal of test signal from time domain to frequency domain can utilize the usual means of those skilled in the art It realizes, for example, can be sampled according to certain sample frequency to the output signal of test signal, then passes through discrete Fu In obtain frequency-region signal after leaf transformation.
In the application, detected object can be the software there may be failure, can also be that there may be the hard of failure Part can also be formed by software and combination of hardware.Fig. 2 c are a kind of system block diagram suitable for the application, and detected object is at this It is referred to as audio frequency broadcast system 210 in example, audio frequency broadcast system 210 includes input terminal 211 and output end 212.Mixed recharge signal The output end that module 220 occurs is connect with the input terminal 211 of audio frequency broadcast system 210, the output end of audio frequency broadcast system 210 212 connect through digital sample module 230 with the input terminal of rectangular wave detection module 240, the output end of rectangular wave detection module 240 It is sequentially connected DFT (discrete Fourier transform) module 250 and frequency signal detection module 260.
Mixed recharge signal generating module 220 can generate test signal according to preset frequency, the test signal in this example by Square-wave signal and sine wave signal, which staggeredly mix, to be generated, and the amplitude of square-wave signal is at least 2 times of sine wave signal amplitude.
Test signal is after the input terminal 211 of audio frequency broadcast system 210 inputs, by the processing of audio frequency broadcast system 210, And it is exported to digital sample module 230 by the output end of audio frequency broadcast system 210 212.It can be seen from the figure that test signal Output signal is sent to digital sample module 230 in the form of analog signal.Digital sample module 230 is according to scheduled sampling frequency Rate is arranged, and is sampled to the output signal of test signal, obtains sample data.
After sample data is input into rectangular wave detection module 240, according to the amplitude changing rule of sampled value, detect every The end sampled point of the output signal of square-wave signal in a period, and believe end sampled point as the sine wave in each period Number output signal starting point, by the sampled point of the output signal of the sine wave signal in each period from the output of test signal believe It is separated in number, output obtains the frequency-region signal of each sampled point to DFT block 250 by discrete Fourier transform.
After frequency-region signal is entered frequency signal detection module 260, frequency signal detection module 260 calculates each frequency point Energy value, and search maximum energy value, the energy value and anticipation value compared, in this example, provided with 5% it is superfluous Remaining, when maximum energy value 95% or more in anticipation value, it is believed that audio frequency broadcast system is in normal condition, works as ceiling capacity When value is not up to the 95% of anticipation value, it is believed that audio frequency broadcast system breaks down.
In other examples, the frequency values that frequency point corresponding to maximum energy value can also be searched, by the frequency values and institute It states the preset frequency corresponding to anticipation value to be compared, in this example, is provided with 10% redundancy, when the frequency values are in predetermined frequency When on the 90% of rate, it is believed that audio frequency broadcast system is in normal condition, when the frequency values are not up to the 90% of preset frequency, recognizes It breaks down for audio frequency broadcast system.
Corresponding with the embodiment of the fault detection method of aforementioned acoustic signals, present invention also provides the events of acoustic signals Hinder the embodiment of detection device.
It is patrolling for the failure detector 300 of the acoustic signals shown in one exemplary embodiment of the application referring to Fig. 3, Fig. 3 Block diagram is collected, which may include:Test signal generation module 310, output signal acquisition module 320 and fault detect mould Block 330.
Wherein, test signal generation module 310, the test signal for generating preset frequency, and by the test signal It is input in detected object;The test signal is based on the first acoustic signals and second acoustic wave signal generates, first sound Wave signal is different from the waveform of second acoustic wave signal.
Output signal acquisition module 320, for identifying that the first sound wave is believed from the output signal of the detected object Number output signal, the output signal based on the first acoustic signals isolates the output signal of second acoustic wave signal.
Fault detection module 330, for whether determining the detected object based on the output signal of second acoustic wave signal It breaks down.
In some examples, the waveform of first acoustic signals is rectangular wave, and the amplitude of first acoustic signals is big In the amplitude of the second acoustic wave signal.
As an example, the amplitude of second acoustic wave signal described in the Amplitude Ration of first acoustic signals doubles above.
In some examples, the output signal acquisition module includes:
Initial position identification module, the end position for the output signal based on the first acoustic signals identify the rising tone The initial position of the output signal of wave signal.
Output signal separation module, the output signal for isolating second acoustic wave signal according to the initial position.
In some examples, the fault detection module includes:
Frequency-region signal conversion module, for the output signal of the second acoustic wave signal to be converted to frequency-region signal;
Energy value detection module, the energy value for corresponding to frequency point to the frequency-region signal are detected.
Fault determination module, for compared with anticipation value, detected object to be determined according to comparison result for the energy value Whether break down.
As an example, the energy value of the corresponding frequency point be the frequency-region signal frequency point in energy value maximum value.
In some examples, the test signal is that first acoustic signals are staggeredly generated with the second acoustic wave signal Mixed signal.
In some examples, the waveform of the second acoustic wave signal is sine wave.
The function of modules and the realization process of effect specifically refer to and correspond to step in the above method in above-mentioned apparatus Realization process, details are not described herein.
For device embodiments, since it corresponds essentially to embodiment of the method, so related place is referring to method reality Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein described be used as separating component The module of explanation may or may not be physically separated, and the component shown as module can be or can also It is not physical module, you can be located at a place, or may be distributed on multiple network modules.It can be according to actual It needs that some or all of module therein is selected to realize the purpose of application scheme.Those of ordinary skill in the art are not paying In the case of going out creative work, you can to understand and implement.
The embodiment of the failure detector of the application acoustic signals can be applied on an electronic device.It specifically can be by counting It calculates movement piece or entity is realized, or realized by the product with certain function.In the typical realization of one kind, electronic equipment is The concrete form of computer, computer can be personal computer, laptop computer, cellular phone, camera phone, intelligence electricity Words, personal digital assistant, media player, navigation equipment, E-mail receiver/send equipment, game console, tablet computer, can The combination of wearable device, internet television, intelligent locomotive, smart home device or arbitrary several equipment in these equipment.
Device embodiment can also be realized by software realization by way of hardware or software and hardware combining.With For software realization, as the device on a logical meaning, being will be non-volatile by the processor of electronic equipment where it Corresponding computer program instructions read what operation in memory was formed in memory.For hardware view, as shown in figure 4, For the application acoustic signals failure detector where electronic equipment a kind of hardware structure diagram, in addition to processing shown in Fig. 4 Except device, memory, network interface and nonvolatile memory, the electronic equipment in embodiment where device is generally according to this The actual functional capability of electronic equipment can also include other hardware, be repeated no more to this.The storage processor of electronic equipment can be The memory of executable instruction;Processor can be with coupled memory, the program instruction for reading the memory storage, and makees For response, following operation is executed:The test signal of preset frequency is generated, and the test signal is input to detected object In;The test signal is based on the first acoustic signals and second acoustic wave signal generates, first acoustic signals and the second sound wave The waveform of signal is different;The output signal that the first acoustic signals are identified from the output signal of the detected object, is based on The output signal of first acoustic signals isolates the output signal of second acoustic wave signal;Output signal based on second acoustic wave signal Determine whether the detected object breaks down.
In other embodiments, the operation performed by processor can refer to relevant description in embodiment of the method above, It will not be described here.
The foregoing is merely the preferred embodiments of the application, not limiting the application, all essences in the application With within principle, any modification, equivalent substitution, improvement and etc. done should be included within the scope of the application protection god.

Claims (25)

1. a kind of fault detection method of acoustic signals, which is characterized in that including step:
The test signal of preset frequency is generated, and the test signal is input in detected object;The test signal base It is generated in the first acoustic signals and second acoustic wave signal, first acoustic signals are different from the waveform of second acoustic wave signal;
The output signal of the first acoustic signals is identified from the output signal of the detected object, is based on the first acoustic signals Output signal isolate the output signal of second acoustic wave signal;
Determine whether the detected object breaks down based on the output signal of second acoustic wave signal.
2. according to the method described in claim 1, it is characterized in that, the waveform of first acoustic signals is rectangular wave, and institute The amplitude for stating the first acoustic signals is more than the amplitude of the second acoustic wave signal.
3. according to the method described in claim 2, it is characterized in that, the second sound wave described in the Amplitude Ration of first acoustic signals The amplitude of signal doubles above.
4. according to the method described in claim 2, it is characterized in that, the output signal based on the first acoustic signals is isolated The output signal of second acoustic wave signal, including:
The end position of output signal based on the first acoustic signals identifies the start bit of the output signal of second acoustic wave signal It sets;
The output signal of second acoustic wave signal is isolated according to the initial position.
5. according to the method described in claim 1, it is characterized in that, the output signal based on second acoustic wave signal determines institute State whether detected object breaks down, including:
The output signal of the second acoustic wave signal is converted into frequency-region signal;
The energy value that frequency point is corresponded to the frequency-region signal is detected;
By the energy value compared with anticipation value, determine whether detected object breaks down according to comparison result.
6. according to the method described in claim 5, it is characterized in that, the energy value of the corresponding frequency point is the frequency-region signal The maximum value of energy value in frequency point.
7. according to the method described in claim 1, it is characterized in that, the test signal be first acoustic signals with it is described The mixed signal that second acoustic wave signal staggeredly generates.
8. according to the method described in claim 1, it is characterized in that, the waveform of the second acoustic wave signal is sine wave.
9. a kind of electronic equipment, which is characterized in that including:
Processor;
Store the memory of processor-executable instruction;
Wherein, the processor is coupled in the memory, the program instruction for reading the memory storage, and as sound It answers, executes following operation:
The test signal of preset frequency is generated, and the test signal is input in detected object;The test signal base It is generated in the first acoustic signals and second acoustic wave signal, first acoustic signals are different from the waveform of second acoustic wave signal;
The output signal of the first acoustic signals is identified from the output signal of the detected object, is based on the first acoustic signals Output signal isolate the output signal of second acoustic wave signal;
Determine whether the detected object breaks down based on the output signal of second acoustic wave signal.
10. electronic equipment according to claim 9, which is characterized in that the waveform of first acoustic signals is rectangular wave, And the amplitude of first acoustic signals is more than the amplitude of the second acoustic wave signal.
11. electronic equipment according to claim 10, which is characterized in that described in the Amplitude Ration of first acoustic signals The amplitude of two acoustic signals doubles above.
12. electronic equipment according to claim 10, which is characterized in that the processor is additionally configured to execute following behaviour Make:
The end position of output signal based on the first acoustic signals identifies the start bit of the output signal of second acoustic wave signal It sets;
The output signal of second acoustic wave signal is isolated according to the initial position.
13. electronic equipment according to claim 9, which is characterized in that the processor is additionally configured to execute following behaviour Make:
The output signal of the second acoustic wave signal is converted into frequency-region signal;
The energy value that frequency point is corresponded to the frequency-region signal is detected;
By the energy value compared with anticipation value, determine whether detected object breaks down according to comparison result.
14. electronic equipment according to claim 13, which is characterized in that the energy value of the corresponding frequency point is the frequency domain The maximum value of energy value in the frequency point of signal.
15. electronic equipment according to claim 9, which is characterized in that the test signal is first acoustic signals The mixed signal staggeredly generated with the second acoustic wave signal.
16. electronic equipment according to claim 9, which is characterized in that the waveform of the second acoustic wave signal is sine wave.
17. a kind of failure detector of acoustic signals, which is characterized in that including:
Test signal generation module, the test signal for generating preset frequency, and the test signal is input to detected In object;The test signal is based on the first acoustic signals and second acoustic wave signal generates, first acoustic signals and second The waveform of acoustic signals is different;
Output signal acquisition module, the output for identifying the first acoustic signals from the output signal of the detected object Signal, the output signal based on the first acoustic signals isolate the output signal of second acoustic wave signal;
Fault detection module, for determining whether the detected object occurs event based on the output signal of second acoustic wave signal Barrier.
18. device according to claim 17, which is characterized in that the waveform of first acoustic signals is rectangular wave, and The amplitude of first acoustic signals is more than the amplitude of the second acoustic wave signal.
19. device according to claim 18, which is characterized in that the rising tone described in the Amplitude Ration of first acoustic signals The amplitude of wave signal doubles above.
20. device according to claim 18, which is characterized in that the output signal acquisition module includes:
Initial position identification module, the end position for the output signal based on the first acoustic signals identify that the second sound wave is believed Number output signal initial position;
Output signal separation module, the output signal for isolating second acoustic wave signal according to the initial position.
21. device according to claim 17, which is characterized in that the fault detection module includes:
Frequency-region signal conversion module, for the output signal of the second acoustic wave signal to be converted to frequency-region signal;
Energy value detection module, the energy value for corresponding to frequency point to the frequency-region signal are detected;
Fault determination module, for whether the energy value compared with anticipation value, detected object to be determined according to comparison result It breaks down.
22. device according to claim 21, which is characterized in that the energy value of the corresponding frequency point is the frequency-region signal Frequency point in energy value maximum value.
23. device according to claim 17, which is characterized in that the test signal is first acoustic signals and institute State the mixed signal that second acoustic wave signal staggeredly generates.
24. device according to claim 17, which is characterized in that the waveform of the second acoustic wave signal is sine wave.
25. one or more machine readable medias, which is characterized in that instruction is stored thereon with, when by one or more processors When execution so that terminal device executes the method as described in any one of claim 1-8.
CN201710074033.4A 2017-02-10 2017-02-10 Fault detection method, device and the equipment of acoustic signals, readable medium Pending CN108419199A (en)

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Application publication date: 20180817