Power amplifier output impedance anomaly detection method and system

Abstract

The invention discloses a power amplifier output impedance anomaly detection method and system, and relates to the technical field of output impedance anomaly detection. According to the application, the change trend of the operating parameters of the power amplifier is tracked and analyzed in real time through the sliding window technology, the threshold interval adjustment requirement of the power amplifier can be sensed in time, and the corresponding instructions (including the range expansion instruction and the range reduction instruction) are generated; a basis is provided for dynamic anomaly detection of the power amplifier; by calculating the standard deviation of the load impedance, the temperature and the working frequency and based on the result of the standard deviation, the anomaly detection threshold interval can be accurately adjusted, the detection accuracy is ensured, the system updates the anomaly interval once every time the sliding window slides, the anomaly detection threshold can respond to the dynamic change of parameters in real time, and the detection accuracy is improved. The self-adaptive mechanism is suitable for various working scenes, especially for equipment with high dynamic performance requirements.

Description

Technical Field

[0001] This application relates to the technical field of output impedance anomaly detection, and more particularly, to a method and system for detecting output impedance anomalies of a power amplifier. Background Art

[0002] The output impedance of an amplifier refers to the "response" or "resistance" of the amplifier's output terminal to the external load impedance. Ideally, the output impedance of the amplifier should be as low as possible so that power can be transmitted to the load to the maximum extent. For actual amplifiers, there is a certain output impedance, which is usually determined by the amplifier's design and internal circuits (such as the characteristics of power transistors, feedback networks, etc.). The output impedance of a power amplifier affects the frequency characteristics of the output signal, especially the impedance change at different frequencies. If the output impedance is abnormal, it will cause signal distortion or irregular fluctuations in the spectrum. Therefore, it is very necessary to detect the anomalies of the power amplifier's output impedance.

[0003] The output impedance of a power amplifier will fluctuate dynamically during operation with changes in load, environment, etc. However, existing detection methods are usually based on static detection (such as static tests based on a network analyzer or time-domain reflection). The limitations of static detection methods result in insufficient ability to capture dynamic changes and inability to accurately detect anomalies in the output impedance of power amplifiers.

[0004] To address the above deficiencies, a method for detecting output impedance anomalies of a power amplifier is provided. Summary of the Invention

[0005] According to one aspect of the present application, a method for detecting output impedance anomalies of a power amplifier is provided. The method includes the following steps:

[0006] S1: Communicate and connect with the power amplifier and each sensor mounted on the amplifier to collect the operating parameters and electrical parameters of the amplifier. Specific operating information includes load impedance, temperature, and operating frequency, and electrical parameters include voltage and current.

[0007] S2: Set a sliding window and a sliding duration, perform sliding analysis on the operating parameters of the power amplifier according to the sliding duration to obtain a floating amplitude, and compare and analyze it with a set floating range. If the floating amplitude is greater than the upper limit of the set floating range, a range expansion instruction is generated and sent to S3; if the floating amplitude is less than the lower limit of the set floating range, a range reduction instruction is generated; otherwise, no adjustment is required, and the reference range is directly used as the anomaly range, and the output impedance of the current power amplifier is detected for anomalies based on the anomaly range.

[0008] S3: Based on the received range expansion instruction and range reduction instruction, dynamically respond to the abnormal threshold interval to generate the latest abnormal interval [Z1new, Z2new], and send it to S4;

[0009] S4: Based on the latest abnormal interval, perform abnormal detection and analysis on the output impedance of the power amplifier to determine whether there is an abnormality. Specifically:

[0010] Take the electrical parameters at each acquisition moment corresponding to the sliding window. The specific electrical parameters include voltage and current, and denote them as Vj and Ij; where j = 1, 2, 3... J, J is a positive integer, J represents the total number of acquisition moments within the sliding window, and j represents any one of the acquisition moments;

[0011] Through Ohm's law formula Obtain the output impedance Aj at each acquisition moment, and compare and analyze it with the corresponding latest abnormal interval [Z1new, Z2new]. If the output impedance Aj ∈ [Z1new, Z2new], then the output impedance at this acquisition moment is normal; if the output impedance is not in this range, then output that the output impedance at this acquisition moment is abnormal and mark it

[0012] S5: Repeat the above steps S1 - S4 to achieve dynamic abnormal detection of the output impedance of the power amplifier. Optionally, the method of performing sliding analysis on the operating parameters of the power amplifier according to the sliding duration is as follows:

[0013] 2 - 1: Take time as the abscissa, and take load impedance, temperature, and operating frequency as the ordinates to construct a two - dimensional rectangular coordinate system. Input the load impedance, temperature, and operating frequency into the coordinate axes according to their corresponding acquisition moments respectively, and denote the positions of the load impedance, temperature, and operating frequency in the coordinate system as load points, temperature points, and frequency points. Connect each load point, temperature point, and frequency point in turn with smooth curves to obtain the load impedance change curve graph, temperature change curve graph, and operating frequency change curve graph respectively;

[0014] 2 - 2: Analyze the curve trend changes of the load impedance change curve graph, temperature change curve graph, and operating frequency change curve graph to extract change parameters. The change parameters include load impedance change value, temperature change value, and operating frequency change value;

[0015] 2 - 3: Perform formula - based calculation and analysis on the load impedance change value RF, temperature change value RT, and operating frequency change value RP to obtain the floating amplitude RFTP. The specific calculation formula is:

[0016] RFTP = β1×RF + β2×RT + β3×RP

[0017] where β1, β2, and β3 are respectively set proportional constants;

[0018] 2 - 4: It is set that each power amplifier corresponds to a reference interval denoted as [Z1, Z2], where Z1 represents the reference lower limit and Z2 represents the reference upper limit.

[0019] Optionally, the method for analyzing the change trend of the curve is as follows:

[0020] 3 - 1: Extract the curve graph, draw tangents to the positions of each point on the curve, and use data fitting to calculate the slopes of each tangent; mark the slopes greater than zero as the increasing trend, mark the slopes less than zero as the decreasing trend, and at the same time mark the slopes equal to zero as the stable trend denoted as Gj; respectively count the quantities of the increasing trend, decreasing trend, and stable trend, and denote them as Q1, Q2, and Q3 respectively;

[0021] 3 - 2: Compare and analyze each increasing trend with the set increasing interval to obtain the increasing amplitude value. Similarly, compare and analyze each decreasing trend with the set decreasing interval to obtain the decreasing amplitude value;

[0022] 3 - 3: Normalize the slope Gj, the quantity Q3 of the stable trend, the increasing amplitude value γD, and the decreasing amplitude value γH and take their numerical values, and perform formula calculation on them to obtain the change value Ri of the curve. The specific calculation formula is:

[0023]

[0024] where λ1, λ2, and λ3 are respectively set proportional constants, and their values are set by those skilled in the art according to actual needs. Here, i = F or T or P; when i = F, RF represents the load impedance change value corresponding to the load impedance change curve; when i = T, RT represents the temperature change value corresponding to the temperature change curve; when i = P, RP represents the working frequency change value corresponding to the working frequency change curve.

[0025] Optionally, the method for comparing and analyzing each increasing trend with the set increasing interval is as follows:

[0026] If the increasing trend is greater than the upper limit of the set increasing interval, then accumulate a high - jump increasing amplitude once; if the increasing trend is within the set increasing interval, then accumulate a medium - jump increasing amplitude once; if the increasing trend is less than the lower limit of the set increasing interval, then accumulate a low - jump increasing amplitude once; respectively count the cumulative quantities of the high - jump increasing amplitude, medium - jump increasing amplitude, and low - jump increasing amplitude, and denote them as D1, D2, and D3 respectively; sum up each increasing trend to calculate the total increasing amplitude and denote it as D4; it should be noted that D1 + D2 + D3 = Q1;

[0027] Normalize D1, D2, D3, and D4 and take their values. Perform formula-based calculation and analysis on the values to obtain the amplification value γD. The specific calculation formula is as follows:

[0028]

[0029] Where α1, α2, and α3 are respectively set proportional constants, and α1 > α2 > α3 > 1; their specific values are set by those skilled in the art according to actual needs.

[0030] Optionally, the generation method of the latest abnormal interval [Z1new, Z2new] is as follows:

[0031] 5-1: Calculate the standard deviation σF of the load impedance through the standard deviation formula for each acquisition moment within the sliding window. The specific standard deviation formula is as follows: Where is the mean value of the load impedance at each acquisition moment;

[0032] 5-2: Calculate the standard deviation σT of the temperature through the standard deviation formula for each acquisition moment within the sliding window. The specific standard deviation formula is as follows: Where is the mean value of the temperature at each acquisition moment;

[0033] 5-3: Calculate the standard deviation σP of the operating frequency through the standard deviation formula for each acquisition moment within the sliding window. The specific standard deviation formula is as follows: Where is the mean value of the operating frequency at each acquisition moment;

[0034] 5-4: When a range expansion instruction is received, expand the reference interval to obtain the latest abnormal interval;

[0035] 5-5: When a range reduction instruction is received, reduce the reference interval to obtain the latest abnormal interval.

[0036] Optionally, the method for expanding the reference interval is as follows:

[0037] Normalize the reference upper limit Z2, reference lower limit Z1, standard deviation σF of the load impedance, standard deviation σT of the temperature, and standard deviation σP of the operating frequency of the reference interval and take their values. Perform formula-based calculation and analysis on the values to obtain the latest abnormal interval [Z1new, Z2new]. The specific calculation formula is as follows: Where η1, η2, and η3 are respectively set proportional constants, and k1 is a set constant representing the amplification degree of the exceeded part for the threshold range.

[0038] Optionally, the method for narrowing the reference interval is as follows:

[0039] Normalize the reference upper limit Z2, reference lower limit Z1, standard deviation σF of the load impedance, standard deviation σT of the temperature, and standard deviation σP of the operating frequency of the reference interval, take their numerical values, and perform formula-based calculation and analysis on the numerical values to obtain the latest abnormal interval [Z1new, Z2new]. The specific calculation formula is: Where k2 is a set constant, indicating the degree of narrowing of the threshold range for the lower part below the lower limit.

[0040] According to one aspect of the present application, a power amplifier output impedance abnormality detection system is provided. The system includes: a data acquisition module, a sliding analysis module, and an abnormality detection module;

[0041] The data acquisition module communicates with the power amplifier and each sensor mounted on the amplifier to collect the operating parameters and electrical parameters of the amplifier; the specific operating information includes load impedance, temperature, and operating frequency, and the electrical parameters include voltage and current;

[0042] The sliding analysis module sets a sliding window and a sliding duration, performs sliding analysis on the operating parameters of the power amplifier according to the sliding duration to obtain a floating amplitude, and compares and analyzes it with a set floating interval. If the floating amplitude is greater than or equal to the upper limit of the set floating interval, a range expansion instruction is generated and sent to S3; if the floating amplitude is less than the lower limit of the set floating interval, a range narrowing instruction is generated; otherwise, no adjustment is required, and the reference interval is directly used as the abnormal interval, and the output impedance of the current power amplifier is detected for abnormality based on the abnormal interval;

[0043] The abnormality detection module dynamically responds to the received range expansion instruction and range narrowing instruction to generate the latest abnormal interval [Z1new, Z2new], and accordingly performs abnormality detection and analysis on the output impedance of the power amplifier to determine whether there is an abnormality.

[0044] Compared with the prior art, the beneficial effects of the present invention are:

[0045] (1) By using the sliding window technology, the present application performs real-time tracking and analysis on the change trend of the operating parameters of the power amplifier, can timely sense the adjustment requirements of the threshold interval of the power amplifier, and generate corresponding instructions (including range expansion instructions and range narrowing instructions); realizes real-time tracking of dynamic parameter changes, is applicable to devices such as power amplifiers with high requirements for dynamic performance, and provides a basis for realizing dynamic abnormality detection of power amplifiers;

[0046] (2) This application can accurately adjust the abnormal detection threshold range by calculating the standard deviations of the load impedance, temperature, and operating frequency, and based on the results of the standard deviations, ensuring the accuracy of detection. Specifically, when receiving a range expansion instruction, the system dynamically expands the reference range according to the fluctuations of the load impedance, temperature, and operating frequency, avoiding frequent triggering of abnormal alarms due to excessive fluctuations. On the contrary, when receiving a range reduction instruction, the system reduces the reference range to improve the detection sensitivity and ensure that small abnormal changes can be captured. Each time the sliding window slides, the system updates the abnormal range once, ensuring that the abnormal detection threshold can respond in real time to the dynamic changes of the parameters. This adaptive mechanism is applicable to a variety of working scenarios, especially for devices with high requirements for dynamic performance.

[0047] (3) This application calculates the output impedance in real time through Ohm's law and compares the calculation result with the latest abnormal range. If the output impedance exceeds the abnormal range, it is marked as abnormal. The real-time detection mechanism can quickly identify the abnormality of the output impedance, ensuring the safe operation of the power amplifier. It can effectively avoid false alarms or missed alarms caused by fluctuations in load impedance, temperature, and operating frequency. The dynamically adjusted abnormal range can adapt to various working conditions of the power amplifier, ensuring the accuracy and reliability of detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The drawings constituting a part of this application are used to provide a further understanding of this application. The schematic embodiments and descriptions thereof of this application are used to explain this application and do not constitute an improper limitation to this application. In the drawings:

[0049] Figure 1 is a flowchart of the method of the present invention;

[0050] Figure 2 is a block diagram of the system connection of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0051] It should be noted that, without conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The following will refer to the drawings and combine the embodiments to detail this application.

[0052] In order to enable those skilled in the art to better understand the solution of this application, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0053] It should be noted that the terms "first", "second", etc. in the description, claims and the above-mentioned drawings of the present application are used to distinguish similar objects and do not necessarily need to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances for the embodiments of the present application described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0054] As Figure 1 shown, an embodiment of the present application provides a method for detecting abnormal output impedance of a power amplifier. The method includes the following steps:

[0055] S1: Communicate and connect with the power amplifier and each sensor mounted on the amplifier to collect the operating parameters and electrical parameters of the amplifier; the specific operating information includes load impedance, temperature, and operating frequency, and the electrical parameters include voltage and current; it should be noted that the load impedance refers to the electrical impedance characteristics of the load device or circuit, which is closely related to the impedance at the output end of the power amplifier; the change of the load impedance will affect the output impedance of the amplifier. For example, when the impedance of the load decreases (such as connecting a short-circuit load or an unstable device), the output impedance of the power amplifier may increase, resulting in signal distortion or reduced efficiency; while when the load impedance increases, the output impedance may decrease; the operating frequency refers to the frequency range of the input signal of the power amplifier. At high frequencies, the internal circuit components of the amplifier (such as the parasitic capacitance and inductance of transistors, etc.) affect the output impedance. As the frequency increases, the influence of these parasitic components becomes more obvious, resulting in fluctuations and distortions of the output impedance.

[0056] S2: Based on the operating information of the power amplifier, judge the need for adjusting the abnormal detection threshold to determine whether it is necessary to adjust the abnormal detection threshold; specifically:

[0057] Taking a fixed time duration as a sliding window, the sliding window contains several acquisition moments. Usually, engineers will set the fixed time duration of the sliding window to be 10 minutes or 15 minutes, etc., and its specific value is adjusted by those skilled in the art according to actual needs; retrieve the operating parameters at each acquisition moment within the sliding window. The specific operating parameters include load impedance, temperature, and operating frequency, and they are respectively denoted as Fj, Tj, and Pj, where j = 1, 2, 3... J, J is a positive integer, J represents the total number of acquisition moments within the sliding window, and j represents any one of the acquisition moments; as time goes by, the window slides once with the fixed time duration (here the fixed time duration is adjusted by those skilled in the art according to actual needs, usually set by engineers in this field to slide once per minute), and each time the window slides, the earliest data point is discarded and a new data point is added; for example, if the fixed time duration of the slide is 3 minutes, it slides once every 3 minutes. Sliding means discarding the data of the earliest three minutes and adding the data of the latest three minutes;

[0058] Taking time as the abscissa and using the load impedance Fj, temperature Tj, and operating frequency Pj as the ordinates respectively to construct a two-dimensional rectangular coordinate system. Input the load impedance Fj, temperature Tj, and operating frequency Pj into the coordinate axes according to their corresponding acquisition moments respectively, and record the positions of the load impedance Fj, temperature Tj, and operating frequency Pj in the coordinate system as load points, temperature points, and frequency points. Respectively use smooth curves to connect each load point, temperature point, and frequency point in sequence to obtain a load impedance change curve graph, a temperature change curve graph, and an operating frequency change curve graph, and perform curve trend change analysis on them to extract change parameters. The change parameters include load impedance change value, temperature change value, and operating frequency change value; the specific method of curve trend change analysis is as follows:

[0059] Extract the curve graphs (the specific curve graphs include the load impedance change curve graph, the temperature change curve graph, and the operating frequency change curve graph). Make tangents to the curve at each point position in the curve, and use data fitting to calculate the slope of each tangent and denote it as Gj; denote the slope greater than zero as an increasing trend, the slope less than zero as a decreasing trend, and at the same time denote the slope equal to zero as a stable trend; respectively count the quantities of the increasing trend, decreasing trend, and stable trend, and denote them as Q1, Q2, and Q3;

[0060] Compare and analyze each increasing trend with the set increasing interval. If the increasing trend is greater than the upper limit of the set increasing interval, it indicates that the curve has a greater increase change here, its fluctuation change is more obvious, and the impact on the output impedance is greater, then accumulate a high jump increase amplitude; if the increasing trend is within the set increasing interval, then accumulate a medium jump increase amplitude; if the increasing trend is less than the lower limit of the set increasing interval, then accumulate a low jump increase amplitude; respectively count the cumulative quantities of the high jump increase amplitude, medium jump increase amplitude and low jump increase amplitude, and record them as D1, D2 and D3 respectively; it should be noted that D1 + D2 + D3 = Q1; sum up each increasing trend to calculate the total increase amplitude and record it as D4; normalize D1, D2, D3, D4 and take their values, and perform formula-based calculation and analysis on the values to obtain the increase amplitude value γD. The specific calculation formula is:

[0061]

[0062] Where α1, α2, α3 are respectively the set proportional constants, and α1 > α2 > α3 > 1; their specific values are set by the personnel in this field according to actual needs; it can be seen from the formula that when the increase amplitude of the curve is greater, it indicates that its increase fluctuation degree is greater, and the increase amplitude value is greater;

[0063] Compare and analyze each decreasing trend with the set decreasing interval. If the absolute value of the decreasing trend is greater than the upper limit of the set decreasing interval, it indicates that the curve has a greater decrease change here, its fluctuation change is more obvious, and the impact on the output impedance is greater, then accumulate a high jump decrease amplitude; if the absolute value of the decreasing trend is within the set decreasing interval, then accumulate a medium jump decrease amplitude; if the absolute value of the decreasing trend is less than the lower limit of the set decreasing interval, then accumulate a low jump decrease amplitude; respectively count the cumulative quantities of the high jump decrease amplitude, medium jump decrease amplitude and low jump decrease amplitude, and record them as H1, H2 and H3 respectively; it should be noted that H1 + H2 + H3 = Q2; sum up each decreasing trend and then take the absolute value to calculate the total decrease amplitude and record it as H4; normalize H1, H2, H3 and H4 and take their values, and perform formula-based calculation and analysis on the values to obtain the decrease amplitude value γH. The specific calculation formula is:

[0064]

[0065] Where α4, α5, α6 are respectively the set proportional constants, and α4 > α5 > α6 > 1. Their specific values are set by the personnel in this field according to actual needs. It can be seen from the formula that when the decrease amplitude of the curve is greater, it indicates that its decrease fluctuation degree is greater, and the decrease amplitude value is greater;

[0066] Normalize the slope Gj, the number Q3 of stable trends, the increase value γD, and the decrease value γH, take their numerical values, and perform formulaic calculations on them to obtain the change value Ri of the curve. The specific calculation formula is:

[0067]

[0068] Where λ1, λ2, and λ3 are respectively set proportional constants, and their values are set by those skilled in the art according to actual needs. Specifically, λ1 can take the value of 1.482, λ2 can take the value of 1.091, and λ3 can take the value of 1.017; It can be seen from the formula that the greater the fluctuation of the slope of the curve, the greater the change value of the curve; The greater the increase value of the curve and the greater the decrease value, the greater the change value of the curve.

[0069] Perform the above curve trend change analysis on the load impedance change curve graph, temperature change curve graph, and operating frequency change curve graph in sequence to extract the change parameter Ri, where i = F or T or P; When i = F, RF represents the load impedance change value corresponding to the load impedance change curve; When i = T, RT represents the temperature change value corresponding to the temperature change curve; When i = P, RP represents the operating frequency change value corresponding to the operating frequency change curve.

[0070] Perform formulaic calculation and analysis on the load impedance change value RF, temperature change value RT, and operating frequency change value RP to obtain the floating amplitude RFTP. The specific calculation formula is:

[0071] RFTP = β1×RF + β2×RT + β3×RP

[0072] Where β1, β2, and β3 are respectively set proportional constants; It can be seen from the formula that when the load impedance change value RF, temperature change value RT, and operating frequency change value RP are greater, they will all affect the output impedance of the power amplifier, making the measured output impedance unable to be directly used for anomaly detection; Then the greater the floating amplitude.

[0073] Set that each power amplifier corresponds to a reference interval denoted as [Z1, Z2], where Z1 represents the reference lower limit and Z2 represents the reference upper limit; It should be noted that the reference upper limit and reference lower limit are initial values determined according to the output impedance range under normal operating conditions.

[0074] Compare and analyze the floating amplitude of the sliding window with the set floating range. If the floating amplitude is greater than or equal to the upper limit of the set floating range, it indicates that the output impedance of the power amplifier is interfered by the load impedance, temperature, and working frequency changes. Then, generate a range expansion instruction and send it to S3. If the floating amplitude is less than the lower limit of the set floating range, it means that the change trend of the load impedance, temperature, or frequency of the power amplifier is relatively stable (i.e., the fluctuation is small), and it is necessary to narrow the tolerance range of the output impedance fluctuation and improve the detection sensitivity. Then, generate a range reduction instruction. Otherwise, it indicates that the interference on the output impedance is within the normal range, and there is no need to reduce or expand it. Therefore, no adjustment is required. Directly use the reference range as the abnormal range, and perform abnormal detection on the output impedance of the current power amplifier according to the abnormal range.

[0075] By using the sliding window technology to perform real-time tracking and analysis on the change trend of the operating parameters of the power amplifier, it can timely sense the adjustment requirements of the threshold range of the power amplifier and generate corresponding instructions (including range expansion instructions and range reduction instructions); realize the real-time tracking of the dynamic changes of the parameters, which is applicable to devices such as power amplifiers with high requirements for dynamic performance, and provides a basis for realizing the dynamic abnormal detection of the power amplifier.

[0076] S3: Based on the received range expansion instruction and range reduction instruction, perform dynamic response on the abnormal threshold range to ensure that the abnormal detection of the output impedance of the power amplifier is more sensitive and accurate; specifically:

[0077] Calculate the standard deviation σF of the load impedance through the standard deviation formula for each acquisition moment Fj of the load impedance within the sliding window. The specific standard deviation formula is: where F is the mean value of the load impedance at each acquisition moment;

[0078] Calculate the standard deviation σT of the temperature through the standard deviation formula for each acquisition moment Tj of the temperature within the sliding window. The specific standard deviation formula is: where is the mean value of the temperature at each acquisition moment;

[0079] Calculate the standard deviation σP of the working frequency through the standard deviation formula for each acquisition moment Pj of the load impedance within the sliding window. The specific standard deviation formula is: where is the mean value of the working frequency at each acquisition moment;

[0080] When a range expansion instruction is received, the reference upper limit Z2, reference lower limit Z1 of the reference interval, the standard deviation σF of the load impedance, the standard deviation σT of the temperature, and the standard deviation σP of the operating frequency are normalized and their values are taken, and the values are analyzed by formula calculation to obtain the latest abnormal interval [Z1new, Z2new]. The specific calculation formula is: Where η1, η2, and η3 are respectively set proportional constants, and k1 is a set constant, indicating the amplification degree of the exceeded part to the threshold range, and its value is set by those skilled in the art according to actual needs; from the calculation process of the latest abnormal interval [Z1new, Z2new] of the range expansion instruction, when the fluctuation amplitude is large (in the fluctuation state), the reference interval is expanded, and the system will tolerate appropriate fluctuations to avoid frequent triggering of abnormal alarms;

[0081] When a range reduction instruction is received, the reference upper limit Z2, reference lower limit Z1 of the reference interval, the standard deviation σF of the load impedance, the standard deviation σT of the temperature, and the standard deviation σP of the operating frequency are normalized and their values are taken, and the values are analyzed by formula calculation to obtain the latest abnormal interval [Z1new, Z2new]. The specific calculation formula is: Where k2 is a set constant, indicating the reduction degree of the part below the lower limit to the threshold range, and its value is set by those skilled in the art according to actual needs; from the calculation process of the latest abnormal interval [Z1new, Z2new] of the range reduction instruction, when the fluctuation amplitude is very small (in the stable state), the reference interval is reduced, and the system is more sensitive to the detection of the output impedance and can detect smaller abnormal changes; from the above setting of the sliding window, every time the sliding window slides once, the data of the sliding window is updated once, and the abnormal interval can be updated once. Thus, each sliding window corresponds to an abnormal interval;

[0082] By calculating the standard deviations of the load impedance, temperature, and operating frequency, and based on the results of the standard deviations, the abnormal detection threshold interval can be accurately adjusted to ensure the accuracy of detection; specifically, when a range expansion instruction is received, the system dynamically expands the reference interval according to the fluctuations of the load impedance, temperature, and operating frequency to avoid frequent triggering of abnormal alarms due to excessive fluctuations; on the contrary, when a range reduction instruction is received, the system reduces the reference interval to improve the detection sensitivity and ensure that smaller abnormal changes can be captured; every time the sliding window slides once, the system updates the abnormal interval once to ensure that the abnormal detection threshold can respond to the dynamic changes of the parameters in real time. This adaptive mechanism is applicable to a variety of working scenarios, especially for devices with high requirements for dynamic performance.

[0083] S4: Perform abnormal detection and analysis on the output impedance of the power amplifier based on the latest abnormal interval to determine whether there is an abnormality. Specifically:

[0084] For each acquisition moment corresponding to the sliding window, the electrical parameters, specifically the electrical parameters include voltage and current, and denote them as Vj and Ij; through Ohm's law formula Obtain the output impedance at each acquisition moment, and compare and analyze it with the corresponding latest abnormal interval [Z1new, Z2new] respectively. If the output impedance Aj ∈ [Z1new, Z2new], it means that the output impedance at this acquisition moment is normal; if the output impedance When it is, it means that the output impedance at this acquisition moment is abnormal, and mark it;

[0085] S5: Repeat the above steps S1 - S4 to achieve dynamic abnormal detection of the output impedance of the power amplifier;

[0086] Calculate the output impedance in real time through Ohm's law, and compare the calculation result with the latest abnormal interval; if the output impedance exceeds the abnormal interval, mark it as abnormal; the real-time detection mechanism can quickly identify the abnormality of the output impedance to ensure the safe operation of the power amplifier; it can effectively avoid false alarms or missed alarms caused by fluctuations in load impedance, temperature, and operating frequency. The dynamically adjusted abnormal interval can adapt to various working conditions of the power amplifier to ensure the accuracy and reliability of detection.

[0087] Such as Figure 2 As shown, the embodiment of the present application also provides a system for detecting abnormal output impedance of a power amplifier. The system includes: a data acquisition module, a sliding analysis module, and an abnormal detection module;

[0088] The data acquisition module communicates with the power amplifier and each sensor mounted on the amplifier to collect the operating parameters and electrical parameters of the amplifier; the specific operating information includes load impedance, temperature, operating frequency, and the electrical parameters include voltage and current;

[0089] The sliding analysis module obtains the floating amplitude by setting a sliding window and a sliding duration, and performs sliding analysis on the operating parameters of the power amplifier according to the sliding duration, and compares and analyzes it with the set floating interval. If the floating amplitude is greater than or the upper limit of the set floating interval, generate a range expansion instruction and send it to S3; if the floating amplitude is less than the lower limit of the set floating interval, generate a range reduction instruction; otherwise, no adjustment is required, directly use the reference interval as the abnormal interval, and perform abnormal detection on the output impedance of the current power amplifier according to the abnormal interval;

[0090] The abnormal detection module dynamically responds to the received range expansion instruction and range reduction instruction to generate the latest abnormal interval [Z1new, Z2new], and accordingly performs abnormal detection and analysis on the output impedance of the power amplifier to determine whether it is abnormal.

[0091] It should also be noted that the term "comprise", "include" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, commodity or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the phrase "comprising an..." does not exclude the presence of additional identical elements in the process, method, commodity or device comprising the element.

[0092] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A method for detecting abnormal output impedance of a power amplifier, characterized in that: The following steps are involved: S1: Collecting the operating parameters and electrical parameters of the amplifier by communicating with the power amplifier and various sensors mounted on the amplifier; the specific operating information includes load impedance, temperature, and operating frequency, and the electrical parameters include voltage and current; S2: Set the sliding window and sliding duration, perform sliding analysis on the operating parameters of the power amplifier according to the sliding duration to obtain the floating amplitude, and compare and analyze it with the set floating interval. If the floating amplitude is greater than the upper limit of the set floating interval, a range expansion instruction is generated and sent to S3; if the floating amplitude is less than the lower limit of the set floating interval, a range reduction instruction is generated; otherwise, no adjustment is required, and the reference interval is directly used as the abnormal interval, and the output impedance of the current power amplifier is detected according to the abnormal interval; S3: Based on the received range expansion instruction and range reduction instruction, dynamically respond to the abnormal threshold interval to generate the latest abnormal interval [Z1new, Z2new], and send it to S4; S4: Based on the latest abnormal interval, the output impedance of the power amplifier is analyzed for abnormality to determine whether it is abnormal. Specifically: The electrical parameters of each acquisition moment corresponding to the sliding window, including voltage and current, are recorded as Vj and Ij; wherein j = 1, 2, 3 ... J, J is a positive integer, J represents the total number of acquisition moments in the sliding window, and j represents any one of the acquisition moments; By Ohm's law formula The output impedance Aj at each acquisition time is obtained, and it is compared and analyzed with the corresponding latest abnormal interval [Z1new, Z2new]. If the output impedance Aj∈[Z1new, Z2new], the output impedance at the acquisition time is normal; if the output impedance When the output impedance at the acquisition moment is abnormal, it is output and marked S5: Repeat the above steps S1-S4 to implement dynamic abnormality detection of the output impedance of the power amplifier.

2. A method for detecting abnormal output impedance of a power amplifier according to claim 1, characterized in that: The method of sliding analysis of the operating parameters of the power amplifier according to the sliding time is as follows: 2-1: A two-dimensional rectangular coordinate system is constructed with time as the horizontal coordinate and load impedance, temperature and operating frequency as the vertical coordinates. The load impedance, temperature and operating frequency are input into the coordinate axis according to their corresponding acquisition time, and the positions of the load impedance, temperature and operating frequency in the coordinate system are recorded as load points, temperature points and frequency points. Smooth curves are used to connect the load points, temperature points and frequency points in sequence to obtain the load impedance change curve graph, temperature change curve graph and operating frequency change curve graph respectively; 2-2 Analyze the curve trend changes of the load impedance change curve, the temperature change curve and the operating frequency change curve to extract the change parameters, where the change parameters include the load impedance change value, the temperature change value and the operating frequency change value; 2-3: The load impedance change value, temperature change value and operating frequency change value are calculated and analyzed by formula to obtain the floating amplitude; 2-4: Set each power amplifier to correspond to a reference interval denoted as [Z1, Z2], where Z1 represents the reference lower limit and Z2 represents the reference upper limit.

3. A method for detecting abnormal output impedance of a power amplifier according to claim 2, characterized in that: The way to analyze the curve trend change is: 3-1: Extract the curve graph, and draw tangents for each point in the curve, and use data fitting to calculate the slope of each tangent; record a slope greater than zero as an increasing trend, a slope less than zero as a decreasing trend, and a slope equal to zero as a stable trend; Count the number of increasing trends, decreasing trends and stable trends respectively; 3-2: Compare and analyze each increasing trend with the set increasing interval to obtain the increasing value. Similarly, compare and analyze each decreasing trend with the set decreasing interval to obtain the decreasing amplitude value. 3-3: The slope, the number of stable trends, the increase value, and the decrease value are normalized and their numerical values ​​are taken, and the change value Ri of the curve is calculated by formula, where i=F or T or P; when i=F, RF represents the load impedance change value corresponding to the load impedance change curve; when i=T, RT represents the temperature change value corresponding to the temperature change curve; when i=P, RP represents the operating frequency change value corresponding to the operating frequency change curve.

4. A method for detecting abnormal output impedance of a power amplifier according to claim 3, characterized in that: The method of comparing and analyzing each increasing trend with the set increasing interval is as follows: If the increasing trend is greater than the upper limit of the set increasing interval, a high jump increase is accumulated; if the increasing trend is within the set increasing interval, a medium jump increase is accumulated; if the increasing trend is less than the lower limit of the set increasing interval, a low jump increase is accumulated; the accumulated numbers of high jump increase, medium jump increase and low jump increase are counted respectively; The total increase is calculated by summing up each increasing trend; The cumulative number of high jump increases, the cumulative number of medium jump increases, the cumulative number of low jump increases and the total increase are normalized and their values ​​are taken, and the values ​​are analyzed by formula calculation to obtain the increase value.

5. The method for detecting abnormal output impedance of a power amplifier according to claim 1, characterized in that: The latest abnormal interval [Z1new, Z2new] is generated as follows: 5-1: The load impedance Fj at each acquisition moment in the sliding window is calculated using the standard deviation formula to obtain the standard deviation σF of the load impedance. The specific standard deviation formula is: in is the average value of load impedance at each acquisition moment; 5-2: The temperature Tj at each acquisition time in the sliding window is calculated using the standard deviation formula to obtain the standard deviation σT of the temperature. The specific standard deviation formula is: in is the mean temperature at each collection moment; 5-3: The load impedance Pj at each acquisition moment in the sliding window is calculated using the standard deviation formula to obtain the standard deviation σP of the operating frequency. The specific standard deviation formula is: in is the mean value of the working frequency at each acquisition moment; 5-4: When receiving the range expansion instruction, the reference interval is expanded to obtain the latest abnormal interval; 5-5: When a range reduction instruction is received, the reference interval is reduced to obtain the latest abnormal interval.

6. A method for detecting abnormal output impedance of a power amplifier according to claim 5, characterized in that: The method of expanding the benchmark interval is as follows: The upper limit Z2, lower limit Z1, standard deviation σF of load impedance, standard deviation σT of temperature and standard deviation σP of operating frequency of the reference interval are normalized and their values ​​are taken. The values ​​are analyzed and calculated by formula to obtain the latest abnormal interval [Z1new, Z2new]. The specific calculation formula is: Among them, η1, η2, and η3 are respectively set proportional constants, and k1 is a set constant, which represents the degree of amplification of the exceeding part to the threshold range.

7. A method for detecting abnormal output impedance of a power amplifier according to claim 6, characterized in that: The method of reducing the benchmark interval is as follows: The upper limit Z2, lower limit Z1, standard deviation σF of load impedance, standard deviation σT of temperature and standard deviation σP of operating frequency of the reference interval are normalized and their values ​​are taken. The values ​​are analyzed and calculated by formula to obtain the latest abnormal interval [Z1new, Z2new]. The specific calculation formula is: Where k2 is a set constant, which indicates the degree of reduction of the threshold range for the part below the lower limit.

8. A power amplifier output impedance abnormality detection system, characterized in that A method for detecting abnormal output impedance of a power amplifier according to any one of claims 1 to 7, the system comprising: a data acquisition module, a sliding analysis module, and an abnormality detection module; The data acquisition module communicates with the power amplifier and the sensors mounted on the amplifier to collect the operating parameters and electrical parameters of the amplifier; the specific operating information includes load impedance, temperature, and operating frequency, and the electrical parameters include voltage and current; The sliding analysis module sets the sliding window and the sliding duration, performs sliding analysis on the operating parameters of the power amplifier according to the sliding duration to obtain the floating amplitude, and compares and analyzes it with the set floating interval. If the floating amplitude is greater than or equal to the upper limit of the set floating interval, a range expansion instruction is generated and sent to S3; if the floating amplitude is less than the lower limit of the set floating interval, a range reduction instruction is generated; otherwise, no adjustment is required, and the reference interval is directly used as the abnormal interval, and the output impedance of the current power amplifier is detected according to the abnormal interval. Based on the received range expansion instructions and range reduction instructions, the anomaly detection module dynamically responds to the anomaly threshold interval to generate the latest anomaly interval [Z1new, Z2new], and accordingly performs an anomaly detection analysis on the output impedance of the power amplifier to determine whether it has an anomaly.

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