CN117909861A - Filter fault detection system based on interval analysis - Google Patents
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Abstract
The invention discloses a filter fault detection system based on interval analysis, which comprises a fault detection system, wherein the fault detection system is in bidirectional communication connection with a statistical data platform, the fault detection system is in bidirectional communication connection with a structural parameter detection platform, the fault detection system is in bidirectional communication connection with an information interaction platform, the statistical data platform analyzes filter sample data to obtain statistical probability distribution, and further an uncertainty interval range of structural parameters.
Description
Technical Field
The invention relates to the technical field of fault detection systems, in particular to a filter fault detection system based on interval analysis.
Background
The filter is composed of a low-pass filter circuit composed of an inductor and a capacitor, and allows the current of a useful signal to pass through, so that the interference signal with higher frequency is greatly attenuated, and as the interference signal has two modes, namely a differential mode and a common mode, the filter has attenuation effects on the two types of interference, and the basic principles of the filter are as follows: firstly, by utilizing the characteristic that a capacitor is connected with high frequency and low frequency, high-frequency interference current of a live wire and a zero wire is led into a ground wire common mode, or high-frequency interference current of the live wire is led into a zero wire differential mode; secondly, the impedance characteristic of the inductance coil is utilized to reflect the high-frequency interference current back to the interference source; thirdly, by utilizing the characteristic that the interference suppression ferrite can absorb and convert interference signals in a certain frequency band into heat, a proper interference suppression ferrite magnetic ring and a proper magnetic bead are selected according to the frequency band of the interference signals and are directly sleeved on a cable needing filtering.
The method is characterized in that a certain circuit can only need a current signal with low frequency and a high-frequency signal with low frequency to be harmful to bring about interference, a certain circuit can only need a signal with a certain frequency range to be harmful to bring about interference, the certain circuit can be specifically selected and realized according to the needs and circuit characteristics of different circuits, the effect of a filter is a process of extracting information carried by an original signal from signals distorted and polluted by noise, the function of the filter is to obtain a specific frequency or eliminate a specific frequency, the main function is to pass through the useful signal as little as possible without attenuation and attenuate the useless signal as much as possible, so that the best signal output of the whole circuit is obtained for selection among people, the selection of signals with different frequency ranges can be met when the circuit is designed, and a fault detection system is usually used for detecting faults after the faults of the filter.
Calculation errors are always a troublesome problem in numerical analysis and are derived from data errors, truncation errors and rounding errors, and efforts are made to ensure that the calculation results are within the required accuracy; however, in many problems, it is often the case that some accuracy of the calculation result is presumed or high-accuracy calculation is used as much as possible to ensure the accuracy of the calculation result, since the accumulation of calculation errors may make the calculation result meaningless, section mathematics provide a simple method that takes various errors into consideration, and at the same time, as the calculation result, a section containing an accurate result is obtained, which may achieve a problem that the numerical analysis is desired to solve, that is, section analysis.
However, the conventional fault detection system has the following disadvantages:
The traditional fault detection system has no demonstration basis on the detection result of the filter, and the numerical value is excessively absolute, so that the reliability of the detection result is reduced.
Disclosure of Invention
The invention aims to provide a filter fault detection system based on interval analysis, so as to solve the problems that the conventional fault detection system proposed in the background art has no demonstration basis on the filter detection result, the numerical value is excessively absolute, and the reliability of the detection result is reduced.
In order to achieve the above purpose, the present invention provides the following technical solutions: the filter fault detection system based on interval analysis comprises a fault detection system, wherein the fault detection system is in bidirectional communication connection with the statistical data platform, the fault detection system is in bidirectional communication connection with the structural parameter detection platform, and the fault detection system is in bidirectional communication connection with the information interaction platform;
The statistical data platform analyzes the filter sample data to obtain statistical probability distribution, and further obtains an uncertainty interval range of the structural parameters, the structural parameter detection platform analyzes the uncertainty distribution of the structural parameters of the filter to obtain an interval range of the uncertainty parameters, and the information interaction platform processes and stores the diagnosis data and then transmits the diagnosis data to the rear end.
As a preferred technical scheme of the invention, the statistical data platform comprises a short-circuit fault module, an open-circuit fault module and a leakage fault module, wherein the short-circuit fault module is caused by the damage of a capacitor, an inductor or other elements, when a filter has a short-circuit fault, the signal filtering effect in a circuit is reduced, the circuit can have noise interference and even damage other elements, the open-circuit fault module is caused by the aging and disconnection of the capacitor, the inductor or other elements, the open-circuit fault can cause the incomplete signal filtering in the circuit, the working effect of the circuit is reduced, the leakage fault module is caused by the insulation breakage and aging of the capacitor, the leakage fault can cause the incomplete signal filtering in the circuit, and the noise interference and the voltage fluctuation problems of the circuit are caused.
As a preferable technical scheme of the invention, the structural parameter detection platform comprises a filter classification module and a filter parameter module, wherein the filter classification module classifies detected filters, and the filter parameter module detects filter parameters in real time.
The invention is characterized in that the filter classification module comprises a digital filtering unit, a program filtering unit, a passive filtering unit and an active filtering unit, wherein the digital filtering unit judges whether the filter is digital filtering or not, the digital filtering unit processes signals input from outside by utilizing the characteristic of a discrete time system, the program filtering unit judges whether the filter is program filtering or not, the program filtering digitizing can reduce uncertain factors and the number of links involved by people in the production process, the problems such as reliability, intellectualization and product consistency engineering in the power supply module are effectively solved, the passive filtering unit judges whether the filter is passive filtering or not, the passive filtering unit judges whether the filter is active filtering or not by utilizing a resistor, a reactor and a capacitor element, and the active filtering unit can dynamically track and inhibit harmonic waves and compensate lower reactive components in a power grid.
As a preferred technical solution of the present invention, the filter parameter module includes a center frequency unit, a cut-off frequency unit, a passband bandwidth unit, an insertion loss unit, a ripple unit, an in-band standing-wave ratio unit, a return loss unit, a stop band suppression degree unit, a delay unit, and an in-band internal phase linearity unit, where the center frequency unit is specifically a frequency f0 of a filter passband, f0= (f1+f2)/2 is taken, f1 and f2 are frequency conversion points of 1dB or 3dB relatively dropped from left and right of the bandpass or bandstop filter, the narrowband filter usually uses an insertion loss minimum point as a center frequency to calculate a passband bandwidth cut-off frequency, the cut-off frequency unit refers to a passband right frequency point of the lowpass filter and a passband left frequency point of the highpass filter, and is generally defined by a 1dB or 3dB relative loss point, and a reference standard of relative loss is: the low pass is based on insertion loss at DC, the high pass is based on insertion loss at a high enough pass frequency without parasitic stop band, the pass band bandwidth unit refers to the frequency spectrum width required to pass, BW= (f 2-f 1), f1 and f2 are based on insertion loss at a center frequency f0, the insertion loss unit is characterized by loss at the center or cut-off frequency due to the introduction of a filter on attenuation caused by original signals in a circuit, if the full-band insertion loss is required to be emphasized, the ripple unit refers to the peak value of the insertion loss, which fluctuates on the basis of a loss average value curve, in a cut-off frequency range of 1dB or 3dB, the in-band fluctuation unit refers to the variation of the insertion loss with frequency, in-band fluctuation in 1dB bandwidth is 1dB, the in-band standing wave ratio unit measures an important index of whether the in-band signals of the filter are well matched and transmitted, and ideal matching VSWR=1: 1, VSWR is greater than 1 at mismatch, for a practical filter, satisfying VSWR less than 1.5: the bandwidth of 1 is smaller than BW3dB, the proportion of the bandwidth to BW3dB is related to the filter order and the insertion loss, the decibel number of the ratio of the signal input power to the reflected power of the return loss unit port is also equal to 20Log10 rho, rho is the voltage reflection coefficient, and the return loss is infinite when the input power is fully absorbed by the port.
As a preferred technical solution of the present invention, the stop band rejection degree unit measures an important indicator of good filter selectivity, and the higher the indicator is, the better the rejection of the out-of-band interference signal, there are generally two kinds of extraction: one is how many dB of inhibition to a certain given out-of-band frequency fs is required, and the calculation method is fs attenuation; another method is to propose an index rectangle coefficient (KxdB is larger than 1) for representing the approach degree of the amplitude-frequency response of the filter to the ideal rectangle, kxdB = BWxdB/BW3dB, (X is 40dB, 30dB, 20 dB), the higher the order of the filter is, the higher the rectangle degree is, that is, the K is closer to the ideal value 1, the greater the manufacturing difficulty is, the delay unit refers to the time required for the signal to pass through the filter, the numerical value is the derivative of the transmission phase function on the diagonal frequency, that is, td=df/dv, and the in-band phase linearity unit index represents the magnitude of the phase distortion of the filter to the transmission signal in the passband, and the filter designed according to the linear phase response function has good phase linearity.
As a preferable technical scheme of the invention, the information interaction platform comprises an information processing module, a data storage module and a data communication module, wherein the information processing module processes the fault information of the filter so as to facilitate subsequent data transmission, the data storage module stores and saves the fault information of the filter each time, and the data communication module transmits or receives the fault information of the filter.
Compared with the prior art, the invention has the beneficial effects that: the detection method is based on the basic idea of an interval analysis method, the uncertain parameter values are expressed in an interval form instead of the determined value, so that different filter uncertain factors are considered to obtain a more reasonable and reliable parameter interval range, the upper and lower limit ranges of the filter parameters are obtained through the interval analysis method, and the reliability and the safety of the filter structure detection are improved.
Drawings
FIG. 1 is a schematic diagram of a fault detection system according to the present invention;
FIG. 2 is a schematic diagram of a structural parameter testing platform according to the present invention;
FIG. 3 is a schematic diagram of a filter classification module according to the present invention;
FIG. 4 is a schematic diagram of a filter parameter module according to the present invention;
FIG. 5 is a schematic diagram of a statistical data detection platform according to the present invention;
fig. 6 is a schematic diagram of an architecture of an information interaction platform according to the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-6, the invention provides a filter fault detection system based on interval analysis, which comprises a fault detection system, wherein the fault detection system and a statistical data platform are connected in a two-way communication way, the fault detection system and a structural parameter detection platform are connected in a two-way communication way, and the fault detection system and an information interaction platform are connected in a two-way communication way;
The statistical data platform analyzes the filter sample data to obtain statistical probability distribution, and further obtains an uncertainty interval range of the structural parameters, the structural parameter detection platform analyzes the uncertainty distribution of the structural parameters of the filter to obtain an interval range of the uncertainty parameters, and the information interaction platform processes and stores the diagnosis data and then transmits the diagnosis data to the rear end.
The statistical data platform comprises a short circuit fault module, an open circuit fault module and a leakage fault module, wherein the short circuit fault module is caused by the damage of a capacitor, an inductor or other elements, when a filter has a short circuit fault, the signal filtering effect of the filter in a circuit can be reduced, the circuit can have noise interference and even damage other devices, the open circuit fault module is caused by the aging and disconnection of the capacitor, the inductor or other elements, the signal filtering in the circuit can be incomplete due to the open circuit fault, the working effect of the circuit is reduced, the leakage fault module is caused by the insulation damage and aging of the capacitor, the signal filtering in the circuit is incomplete due to the leakage fault, and the noise interference and the voltage fluctuation problems of the circuit are caused.
The structure parameter detection platform comprises a filter classification module and a filter parameter module, wherein the filter classification module classifies detected filters, and the filter parameter module detects filter parameters in real time.
The filter classification module comprises a digital filtering unit, a program filtering unit, a passive filtering unit and an active filtering unit, wherein the digital filtering unit judges whether the filter is digital filtering or not, the digital filtering is particularly characterized by utilizing a discrete time system, an externally input signal is processed, the program filtering unit judges whether the filter is program filtering, the program filtering digitization can reduce uncertain factors and the number of links involved by people in the production process, the problems of reliability, intelligence and product consistency engineering in the power supply module are effectively solved, the passive filtering unit judges whether the filter is passive filtering or not, the passive filtering is a filtering circuit formed by using a resistor, a reactor and a capacitor element, the active filtering unit judges whether the filter is active filtering, the active filtering can dynamically track and inhibit harmonic waves, and lower reactive components in a power grid are compensated.
The filter parameter module comprises a center frequency unit, a cut-off frequency unit, a passband bandwidth unit, an insertion loss unit, a ripple unit, an in-band fluctuation unit, an in-band standing wave ratio unit, a return loss unit, a stop band suppression unit, a delay unit and an in-band internal phase linearity unit, wherein the center frequency unit is specifically the frequency f0 of a filter passband, f0= (f1+f2)/2 is taken, f1 and f2 are frequency conversion points of which the left and right sides of the bandpass or bandstop filter are relatively reduced by 1dB or 3dB, the passband bandwidth cut-off frequency of the narrowband filter is usually calculated by taking the minimum insertion loss point as the center frequency, the cut-off frequency unit refers to the passband right frequency point of the lowpass filter and the passband left frequency point of the highpass filter, and is usually defined by a 1dB or 3dB relative loss point, and the reference standard of the relative loss is as follows: the low pass is based on insertion loss at DC, the high pass is based on insertion loss at high enough pass frequency without parasitic stop band, the pass band bandwidth unit refers to the frequency spectrum width to be passed, BW= (f 2-f 1), f1 and f2 are based on insertion loss at the center frequency f0, the insertion loss unit is used for attenuating original signals in a circuit due to the introduction of a filter, the insertion loss unit is characterized by loss at the center or cut-off frequency, if the full-band insertion loss is required to be emphasized, the ripple unit refers to the peak value of the insertion loss, which fluctuates along with the frequency on the basis of a loss average value curve, in-band fluctuation within the 1dB band is 1dB, the in-band standing wave ratio unit measures an important index of whether the signals in the pass band of the filter are well matched with transmission or not, and the ideal matching VSWR=1: 1, VSWR is greater than 1 at mismatch, for a practical filter, satisfying VSWR less than 1.5: the bandwidth of 1 is smaller than BW3dB, the proportion of the bandwidth accounting for BW3dB is related to the filter order and the insertion loss, the decibel number of the ratio of the signal input power to the reflected power of the return loss unit port is also equal to 20Log10 rho, rho is the voltage reflection coefficient, and the return loss is infinite when the input power is fully absorbed by the port.
The stop band rejection level unit measures an important indicator of how good the filter is in selecting, and the higher the indicator is, the better the rejection of out-of-band interference signals is, and there are two general methods: one is how many dB of inhibition to a certain given out-of-band frequency fs is required, and the calculation method is fs attenuation; another approach is to propose an index rectangle factor (KxdB is greater than 1) that characterizes the approach of the filter amplitude-frequency response to the ideal rectangle, kxdB = BWxdB/BW3dB, (X is 40dB, 30dB, 20 dB), the higher the order of the filter, the higher the rectangle degree, i.e. K, the closer to the ideal value 1, the greater the difficulty of fabrication, the delay unit refers to the time required for the signal to pass through the filter, the numerical value is the derivative of the transmission phase function to the angular frequency, i.e. td=df/dv, and the in-band phase linearity unit index characterizes the magnitude of the phase distortion introduced by the filter to the transmission signal in the passband, and the filter designed according to the linear phase response function has good phase linearity.
The information interaction platform comprises an information processing module, a data storage module and a data communication module, wherein the information processing module processes the fault information of the filter, so that subsequent data transmission is facilitated, the data storage module stores the fault information of the filter every time, and the data communication module transmits or receives the fault information.
According to the invention, the statistical data platform analyzes the filter sample data to obtain statistical probability distribution, judges whether the filter is a fault caused by short circuit, open circuit or electric leakage, further obtains an uncertainty interval range of structural parameters, the structural parameter detection platform analyzes the uncertainty distribution of the structural parameters of the filter to obtain the interval range of the uncertainty parameters, determines the type of the filter first, diagnoses each parameter of the filter, and transmits diagnosis results to the information interaction platform, and the information interaction platform processes and stores diagnosis data and then transmits the diagnosis data to the rear end.
Although the present invention has been described with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements and changes may be made without departing from the spirit and principles of the present invention.
Claims (7)
1. Filter fault detection system based on interval analysis, including fault detection system, its characterized in that: the fault detection system and the statistical data platform are connected in a two-way communication way, the fault detection system and the structural parameter detection platform are connected in a two-way communication way, and the fault detection system and the information interaction platform are connected in a two-way communication way;
The statistical data platform analyzes the filter sample data to obtain statistical probability distribution, and further obtains an uncertainty interval range of the structural parameters, the structural parameter detection platform analyzes the uncertainty distribution of the structural parameters of the filter to obtain an interval range of the uncertainty parameters, and the information interaction platform processes and stores the diagnosis data and then transmits the diagnosis data to the rear end.
2. The interval analysis-based filter failure detection system according to claim 1, wherein: the statistics data platform comprises a short circuit fault module, an open circuit fault module and a leakage fault module, wherein the short circuit fault module is caused by the damage of a capacitor, an inductor or other elements, when a filter has a short circuit fault, the signal filtering effect of the filter in a circuit is reduced, the circuit can generate noise interference and even damage other devices, the open circuit fault module is caused by the aging and disconnection of the capacitor, the inductor or other elements, the open circuit fault can cause incomplete signal filtering in the circuit, the working effect of the circuit is reduced, the leakage fault module is caused by the insulation damage and aging inside the capacitor, the leakage fault can cause the incomplete signal filtering in the circuit, and the problems of noise interference and voltage fluctuation of the circuit are caused.
3. The interval analysis-based filter failure detection system according to claim 1, wherein: the structure parameter detection platform comprises a filter classification module and a filter parameter module, wherein the filter classification module classifies detected filters, and the filter parameter module detects filter parameters in real time.
4. A filter failure detection system based on interval analysis according to claim 3, wherein: the filter classification module comprises a digital filtering unit, a program filtering unit, a passive filtering unit and an active filtering unit, wherein the digital filtering unit judges whether the filter is digital filtering or not, the digital filtering unit processes signals input externally specifically by utilizing the characteristic of a discrete time system, the program filtering unit judges whether the filter is program filtering or not, the program filtering digitization can reduce uncertain factors and the number of links involved in human in the production process, the problems of reliability, intellectualization and product consistency engineering in the power supply module are effectively solved, the passive filtering unit judges whether the filter is passive filtering or not, the passive filtering unit is a filtering circuit formed by using a resistor, a reactor and a capacitor element, and the active filtering unit judges whether the filter is active filtering or not, and the active filtering unit can dynamically track and inhibit harmonic waves and compensate lower reactive components in a power grid.
5. A filter failure detection system based on interval analysis according to claim 3, wherein: the filter parameter module comprises a center frequency unit, a cut-off frequency unit, a passband bandwidth unit, an insertion loss unit, a ripple unit, an in-band fluctuation unit, an in-band standing wave ratio unit, a return loss unit, a stop band suppression degree unit, a delay unit and an in-band internal phase linearity unit, wherein the center frequency unit is specifically the frequency f0 of a filter passband, f0= (f1+f2)/2 is taken, f1 and f2 are the frequency conversion points of which the left and right sides of the bandpass or bandstop filter are relatively reduced by 1dB or 3dB, the passband bandwidth cut-off frequency of the narrowband filter is usually calculated by taking the minimum insertion loss point as the center frequency, the cut-off frequency unit refers to the passband right frequency point of the low-pass filter and the passband left frequency point of the high-pass filter, and is usually defined by a 1dB or 3dB relative loss point, and the reference standard of the relative loss is as follows: the low pass is based on insertion loss at DC, the high pass is based on insertion loss at a high enough pass frequency without parasitic stop band, the pass band bandwidth unit refers to the frequency spectrum width required to pass, BW= (f 2-f 1), f1 and f2 are based on insertion loss at a center frequency f0, the insertion loss unit is characterized by loss at the center or cut-off frequency due to the introduction of a filter on attenuation caused by original signals in a circuit, if the full-band insertion loss is required to be emphasized, the ripple unit refers to the peak value of the insertion loss, which fluctuates on the basis of a loss average value curve, in a cut-off frequency range of 1dB or 3dB, the in-band fluctuation unit refers to the variation of the insertion loss with frequency, in-band fluctuation in 1dB bandwidth is 1dB, the in-band standing wave ratio unit measures an important index of whether the in-band signals of the filter are well matched and transmitted, and ideal matching VSWR=1: 1, VSWR is greater than 1 at mismatch, for a practical filter, satisfying VSWR less than 1.5: the bandwidth of 1 is smaller than BW3dB, the proportion of the bandwidth to BW3dB is related to the filter order and the insertion loss, the decibel number of the ratio of the signal input power to the reflected power of the return loss unit port is also equal to 20Log10 rho, rho is the voltage reflection coefficient, and the return loss is infinite when the input power is fully absorbed by the port.
6. The interval analysis-based filter failure detection system according to claim 5, wherein: the stop band rejection unit measures an important index of good or bad filter selectivity, and the higher the index is, the better the rejection of out-of-band interference signals is, and generally, two kinds of extraction methods are adopted: one is how many dB of inhibition to a certain given out-of-band frequency fs is required, and the calculation method is fs attenuation; another method is to propose an index rectangle coefficient (KxdB is greater than 1) for representing the approach degree of the amplitude-frequency response of the filter to the ideal rectangle, kxdB = BWxdB/BW3dB, (X can be 40dB, 30dB, 20 dB), the higher the order of the filter, the higher the rectangle degree, i.e. K, the closer to the ideal value 1, the greater the difficulty of manufacture, the delay unit refers to the time required for the signal to pass through the filter, the numerical value is the derivative of the transmission phase function to the angular frequency, i.e. td=df/dv, and the in-band phase linearity unit index represents the magnitude of the phase distortion introduced by the filter to the transmission signal in the passband, and the filter designed according to the linear phase response function has good phase linearity.
7. The interval analysis-based filter failure detection system according to claim 1, wherein: the information interaction platform comprises an information processing module, a data storage module and a data communication module, wherein the information processing module processes the fault information of the filter and facilitates subsequent data transmission, the data storage module stores and saves the fault information of the filter each time, and the data communication module transmits or receives the information.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118376960A (en) * | 2024-06-25 | 2024-07-23 | 嘉兴翼波电子有限公司 | Electric connector and electric performance test system thereof |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118376960A (en) * | 2024-06-25 | 2024-07-23 | 嘉兴翼波电子有限公司 | Electric connector and electric performance test system thereof |
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