Fault detection method and system for high-voltage frequency converter
By constructing a multi-source data fault detection system for high-voltage frequency converters, accurate real-time fault detection of high-voltage frequency converters is achieved, solving the problem of low efficiency of traditional detection methods and improving the operational reliability and maintenance efficiency of the equipment.
Patent Information
- Application Number
- CN202510998089.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-18
- Publication Date
- 2025-12-05
AI Technical Summary
Traditional fault detection methods for high-voltage frequency converters rely on manual experience, which is inefficient, makes it difficult to achieve real-time detection, and lacks the ability to comprehensively analyze multi-source data, resulting in high operational risks for the equipment.
By collecting multi-source data from high-voltage frequency converters, constructing an operational status feedback data sequence, and calculating fault detection coefficients for single and multi-source data sources, accurate real-time fault detection of high-voltage frequency converters can be achieved.
It improves the accuracy and efficiency of fault detection in high-voltage frequency converters, avoids fault detection lag, and enhances the operational reliability and maintenance efficiency of the equipment.
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Figure CN121069242A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of fault detection, in particular to a fault detection method and system of a high-voltage frequency converter. BACKGROUND
[0002] As a core equipment of modern industrial power control, the high-voltage frequency converter is widely used in key fields such as power, chemical industry, mining and nuclear energy, and its operation reliability is directly related to the safety and continuity of industrial production. With the continuous improvement of industrial automation level, the performance requirements of high-voltage frequency converters are increasingly strict, and the traditional fault detection method has been difficult to meet the needs of the current intelligent manufacturing environment.
[0003] At present, the conventional fault detection method of the high-voltage frequency converter mainly focuses on routine detection at the component level, including pulse trigger response test, forward and reverse voltage detection, leakage current measurement, on-off performance evaluation and output waveform analysis, etc. These methods usually rely on manual experience judgment, which has strong subjectivity and low efficiency, and it is difficult to realize real-time detection of the running state of the equipment, resulting in high fault risk of the equipment in the real running environment. The conventional fault detection method relies on simple threshold comparison method and lacks comprehensive analysis ability of multi-source data, so the early warning accuracy is limited. SUMMARY
[0004] The embodiments of the present application provide a fault detection method and system of a high-voltage frequency converter, which can integrate and analyze multi-source data to ensure the fault detection accuracy and efficiency of the high-voltage frequency converter, improve the real-time fault detection, avoid fault detection early warning lag, and improve the operation reliability and maintenance efficiency of the high-voltage frequency converter.
[0005] In order to achieve the above purpose, the present application provides a fault detection method of a high-voltage frequency converter, comprising: Based on the pre-set data acquisition time stamp, a plurality of running state feedback data of the high-voltage frequency converter at each data acquisition time stamp is collected, and the running state feedback data is processed to determine a running state feedback data sequence; An arbitrary running state feedback data is selected from the running state feedback data sequence, and a running state feedback data representative value of the selected running state feedback data is calculated according to the running state feedback data sequence; A plurality of running state feedback data representative values corresponding to the running state feedback data sequence are determined, and a single data source fault detection coefficient of the high-voltage frequency converter is calculated according to all the running state feedback data representative values; All single data source fault detection coefficients are integrated to determine a multi-data source fault detection coefficient of the high-voltage frequency converter, and whether the high-voltage frequency converter has a running fault is judged according to the multi-data source fault detection coefficient.
[0006] Further, in processing the operation state feedback data and determining the operation state feedback data sequence, comprising: constructing an initial operation state feedback data sequence based on the data collection timestamp sequence, and determining the initial operation state feedback data and the terminal operation state feedback data; calculating the extreme operation state feedback data difference of the initial operation state feedback data and the terminal operation state feedback data; calculating the sequence retention factor of the initial operation state feedback data sequence according to the extreme operation state feedback data difference and all operation state feedback data; obtaining a preset sequence retention factor, and when the sequence retention factor is greater than the preset sequence retention factor, the initial operation state feedback data sequence is taken as the operation state feedback data sequence; when the sequence retention factor is less than or equal to the preset sequence retention factor, the initial operation state feedback data sequence is sorted from small to large to determine the first operation state feedback data and the second operation state feedback data; calculating the operation state feedback data difference of the first operation state feedback data and the second operation state feedback data, and when the operation state feedback data difference is less than a preset operation state feedback data difference, the first operation state feedback data is deleted and the second operation state feedback data is retained; when the operation state feedback data difference is greater than or equal to the preset operation state feedback data difference, the first operation state feedback data and the second operation state feedback data are retained; determining the third operation state feedback data and the fourth operation state feedback data, and calculating the second operation state feedback data difference of the third operation state feedback data and the fourth operation state feedback data; iterating repeatedly to determine the operation state feedback data sequence according to all retained operation state feedback data.
[0007] Further, in calculating the sequence retention factor of the initial operation state feedback data sequence according to the extreme operation state feedback data difference and all operation state feedback data, comprising: calculating the sequence retention factor of the initial operation state feedback data sequence according to the following formula: ; wherein m is the sequence retention factor of the initial operation state feedback data sequence, n is the number of operation state feedback data, b1 is the extreme operation state feedback data difference, v i is the minimum value of the ith operation state feedback data, .
[0008] Further, in the calculation of the operating state feedback data representative value of the selected operating state feedback data according to the operating state feedback data sequence, comprising: determining the left adjacent operating state feedback data and the right adjacent operating state feedback data of the selected operating state feedback data; determining the left adjacent data mean value according to the left adjacent operating state feedback data, and determining the right adjacent data mean value according to the right adjacent operating state feedback data; determining the maximum left adjacent operating state feedback data from all the left adjacent operating state feedback data, and determining the maximum left data acquisition timestamp corresponding to the maximum left adjacent operating state feedback data; determining the maximum right adjacent operating state feedback data from all the right adjacent operating state feedback data, and determining the maximum right data acquisition timestamp corresponding to the maximum right adjacent operating state feedback data; calculating the operating state feedback data representative value of the selected operating state feedback data based on the left adjacent data mean value, the right adjacent data mean value, the maximum left data acquisition timestamp and the maximum right data acquisition timestamp.
[0009] Further, in the calculation of the operating state feedback data representative value of the selected operating state feedback data based on the left adjacent data mean value, the right adjacent data mean value, the maximum left data acquisition timestamp and the maximum right data acquisition timestamp, comprising: calculating the operating state feedback data representative value of the selected operating state feedback data according to the following formula: ; Wherein, c is the operating state feedback data representative value of the selected operating state feedback data, z1 is the right adjacent data mean value, z2 is the left adjacent data mean value, a1 is the maximum right data acquisition timestamp, and a2 is the maximum left data acquisition timestamp.
[0010] Further, in the determination of the plurality of operating state feedback data representative values corresponding to the operating state feedback data sequence, and the calculation of the single data source fault detection coefficient of the high-voltage frequency converter according to all the operating state feedback data representative values, comprising: randomly extracting the first operating state feedback data representative value and the second operating state feedback data representative value; calculating the operating state feedback data representative difference value of the first operating state feedback data representative value and the second operating state feedback data representative value; extracting the maximum operating state feedback data representative value and the minimum operating state feedback data representative value from all the operating state feedback data representative values; calculating the operating state feedback data representative difference value of the maximum operating state feedback data representative value and the minimum operating state feedback data representative value; The ratio of the difference value represented by the operation status feedback data to the difference value represented by the operation status feedback data is determined as a factor to be calculated. Randomly extract representative values from the third and fourth operating status feedback data; Repeat the iteration to obtain multiple factors to be calculated, and randomly match all the factors to be calculated in pairs to obtain multiple matching groups of factors to be calculated. The single-source fault detection coefficient of the high-voltage frequency converter is calculated based on all the matching groups of factors to be calculated.
[0011] Furthermore, when calculating the single-source fault detection coefficient of the high-voltage frequency converter based on all the matching groups of factors to be calculated, the following is included: The single-source fault detection coefficient of the high-voltage frequency converter is calculated according to the following formula: ; Where s is the single data source fault detection coefficient of the high-voltage frequency converter, d is the number of factor matching groups to be calculated, and g1 y Let g2 be a factor to be calculated in the matching group of the y-th factor to be calculated. y Let y be another factor to be calculated in the matching group of the y-th factor to be calculated. For all The minimum value, For all The maximum value.
[0012] Furthermore, when determining whether the high-voltage frequency converter has an operational fault based on the fault detection coefficients from the multiple data sources, the process includes: Obtain a preset multi-source fault detection coefficient, and determine whether the high-voltage frequency converter has an operational fault based on the relationship between the multi-source fault detection coefficient and the preset multi-source fault detection coefficient. When the fault detection coefficient of the multi-source data source is less than the preset fault detection coefficient of the multi-source data source, it is determined that the high-voltage frequency converter does not have an operational fault. When the multi-source fault detection coefficient is greater than or equal to the preset multi-source fault detection coefficient, it is determined that the high-voltage frequency converter has an operational fault.
[0013] Furthermore, after determining that the high-voltage frequency converter has an operational fault, the method also includes: Multiple preset multi-data source fault detection coefficients can be set in advance; Multiple preset fault alarm levels can be set in advance; According to the relationship between the multi-data-source fault detection coefficient and a preset multi-data-source fault detection coefficient, a corresponding preset fault alarm level is selected, wherein the multi-data-source fault detection coefficient and the preset fault alarm level are in a positive proportional relationship.
[0014] To achieve the above-mentioned purpose, the application further provides a fault detection system of a high-voltage frequency converter, comprising: A sequence determination module is configured to collect multiple operating state feedback data of the high-voltage frequency converter at each data collection time stamp based on a preset data collection time stamp, and process the operating state feedback data to determine an operating state feedback data sequence. A first calculation module is configured to select an operating state feedback data from the operating state feedback data sequence at random, and calculate a representative value of the selected operating state feedback data according to the operating state feedback data sequence. A second calculation module is configured to determine multiple representative values of the operating state feedback data corresponding to the operating state feedback data sequence, and calculate a single-data-source fault detection coefficient of the high-voltage frequency converter according to all the representative values of the operating state feedback data. A fault detection module is configured to integrate all the single-data-source fault detection coefficients to determine a multi-data-source fault detection coefficient of the high-voltage frequency converter, and determine whether the high-voltage frequency converter has an operating fault according to the multi-data-source fault detection coefficient.
[0015] Compared with the prior art, the application has the following advantages: The application discloses a fault detection method and system of a high-voltage frequency converter, which collects multiple operating state feedback data of the high-voltage frequency converter at each data collection time stamp, determines an operating state feedback data sequence, selects an operating state feedback data at random, calculates a representative value of the operating state feedback data, determines multiple representative values of the operating state feedback data corresponding to the operating state feedback data sequence, calculates a single-data-source fault detection coefficient of the high-voltage frequency converter, integrates all the single-data-source fault detection coefficients to determine a multi-data-source fault detection coefficient of the high-voltage frequency converter, and determines whether the high-voltage frequency converter has an operating fault according to the multi-data-source fault detection coefficient. BRIEF DESCRIPTION OF DRAWINGS
[0016] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments with reference made to the accompanying drawings. The drawings are for purposes of illustration only and are not intended to limit the application thereto. The same reference numerals in different drawings denote the same or similar components. In the drawings: Figure 1 A flow diagram of a fault detection method of a high-voltage frequency converter is shown in the embodiment of the application; Figure 2 A structure diagram of a fault detection system of a high-voltage frequency converter is shown in the embodiment of the application. DETAILED DESCRIPTION
[0017] The specific embodiments of the application will be further described in conjunction with the drawings and examples. The following examples are used to illustrate the application, but not to limit the scope of the application.
[0018] In the description of the present application, it should be understood that the terms "center", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the purpose of facilitating the description of the present application and simplifying the description, and therefore cannot be understood as indicating or implying that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.
[0019] The terms "first", "second", "third", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first", "second", etc. can explicitly or implicitly include one or more of the features. In the description of the present application, unless otherwise specified and limited, the term "a plurality of" means two or more.
[0020] In the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounting", "connecting", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integral connection; it can be mechanical connection, or electrical connection; it can be direct connection, or indirect connection through intermediate medium, or internal communication of two elements. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.
[0021] The following is a description of the preferred embodiments of the application in conjunction with the drawings.
[0022] As Figure 1 shown, the embodiment of the application discloses a fault detection method of a high-voltage frequency converter, comprising: S110: Collect multiple running state feedback data of the high-voltage frequency converter at each data collection timestamp based on the pre-set data collection timestamp, and process the running state feedback data to determine a running state feedback data sequence. In this embodiment, the data collection timestamp is a specific collection time which is pre-set. The number is preferably 30, such as 5 seconds, 10 seconds, 15 seconds,..., 150 seconds.
[0023] In this embodiment, the running state feedback data includes running voltage, running current, running frequency, running power, etc., which are not shown one by one.
[0024] In this embodiment, each group of data collection timestamps corresponds to multiple running state feedback data.
[0025] In some embodiments of the present application, when the running state feedback data is processed to determine the running state feedback data sequence, it includes: Based on the data collection timestamp sequence, an initial running state feedback data sequence is constructed, and the initial running state feedback data and the terminal running state feedback data are determined; The extreme running state feedback data difference between the initial running state feedback data and the terminal running state feedback data is calculated; According to the extreme running state feedback data difference and all running state feedback data, a sequence retention factor of the initial running state feedback data sequence is calculated; A pre-set sequence retention factor is obtained. When the sequence retention factor is greater than the pre-set sequence retention factor, the initial running state feedback data sequence is taken as the running state feedback data sequence; When the sequence retention factor is less than or equal to the pre-set sequence retention factor, the initial running state feedback data sequence is sorted from small to large to determine the first running state feedback data and the second running state feedback data; The running state feedback data difference between the first running state feedback data and the second running state feedback data is calculated. When the running state feedback data difference is less than a pre-set running state feedback data difference, the first running state feedback data is deleted and the second running state feedback data is retained; When the running state feedback data difference is greater than or equal to the pre-set running state feedback data difference, the first running state feedback data and the second running state feedback data are retained; The third running state feedback data and the fourth running state feedback data are determined, and the second running state feedback data difference between the third running state feedback data and the fourth running state feedback data is calculated; Repeat iteration, determine the operating state feedback data sequence according to all reserved operating state feedback data.
[0026] In this embodiment, the same type of data corresponding to each data acquisition timestamp is processed to obtain an initial operating state feedback data sequence, for example, the operating voltage corresponding to the 5th second, the operating voltage corresponding to the 10th second, and the operating voltage corresponding to the 15th second are combined to construct an initial operating state feedback data sequence about the operating voltage. Similarly, an initial operating state feedback data sequence about the operating current can also be obtained, which is not shown one by one here.
[0027] In this embodiment, the initial operating state feedback data is the operating state feedback data corresponding to the 5th second, and the terminal operating state feedback data is the operating state feedback data corresponding to the 150th second.
[0028] In this embodiment, the preset sequence retention factor is preferably 0.8, and can also be adjusted according to actual conditions.
[0029] In this embodiment, the preset operating state feedback data difference is preferably 5, and can also be adjusted according to actual conditions.
[0030] In this embodiment, the above steps are repeated to obtain all operating state feedback data that needs to be retained.
[0031] The beneficial effects of the above technical solution are: based on the data acquisition timestamp sequence, the initial operating state feedback data sequence is constructed, which can avoid the problem that data of different units cannot be processed in the same dimension, the sequence retention factor of the initial operating state feedback data sequence is calculated according to the extreme operating state feedback data difference and all operating state feedback data, which can provide a construction basis for the construction of the operating state feedback data sequence, and the operating state feedback data sequence can provide support for subsequent calculation of the operating state feedback data representative value, and some redundant data is removed.
[0032] In some embodiments of the present application, when calculating the sequence retention factor of the initial operating state feedback data sequence according to the extreme operating state feedback data difference and all operating state feedback data, it includes: The sequence retention factor of the initial operating state feedback data sequence is calculated according to the following formula: ; Wherein m is the sequence retention factor of the initial operating state feedback data sequence, n is the number of operating state feedback data, b1 is the extreme operating state feedback data difference, v i is the minimum value of the ith operating state feedback data,
[0033] S120: randomly selecting one running state feedback data from the running state feedback data sequence, and calculating a running state feedback data representative value of the selected running state feedback data according to the running state feedback data sequence; In some embodiments of the present application, when the running state feedback data representative value of the selected running state feedback data is calculated according to the running state feedback data sequence, it includes: determining the left adjacent running state feedback data and the right adjacent running state feedback data of the selected running state feedback data; determining the left adjacent data mean value according to the left adjacent running state feedback data, and determining the right adjacent data mean value according to the right adjacent running state feedback data; determining the maximum left adjacent running state feedback data from all left adjacent running state feedback data, and determining the maximum left data acquisition timestamp corresponding to the maximum left adjacent running state feedback data; determining the maximum right adjacent running state feedback data from all right adjacent running state feedback data, and determining the maximum right data acquisition timestamp corresponding to the maximum right adjacent running state feedback data; calculating the running state feedback data representative value of the selected running state feedback data based on the left adjacent data mean value, the right adjacent data mean value, the maximum left data acquisition timestamp and the maximum right data acquisition timestamp.
[0034] In the present embodiment, if the number of left adjacent running state feedback data or right adjacent running state feedback data is 1, the mean value is the data itself, and the maximum left adjacent running state feedback data and the maximum right adjacent running state feedback data are also the data itself.
[0035] The beneficial effects of the above technical solution are: the present application calculates the running state feedback data representative value of the selected running state feedback data based on the left adjacent data mean value, the right adjacent data mean value, the maximum left data acquisition timestamp and the maximum right data acquisition timestamp, and the running state feedback data representative value can reflect the dispersion degree of one running state feedback data in all running state feedback data, and the running state feedback data representative value can further ensure the fault detection accuracy of the high-voltage frequency converter.
[0036] In some embodiments of the present application, when the running state feedback data representative value of the selected running state feedback data is calculated based on the left adjacent data mean value, the right adjacent data mean value, the maximum left data acquisition timestamp and the maximum right data acquisition timestamp, it includes: calculating the running state feedback data representative value of the selected running state feedback data according to the following formula: ; Wherein, c is a selected operating state feedback data representative value of the operating state feedback data, z1 is a right adjacent data mean, z2 is a left adjacent data mean, a1 is a maximum right data collection timestamp, and a2 is a maximum left data collection timestamp.
[0037] S130: Determine a plurality of operating state feedback data representative values corresponding to the operating state feedback data sequence, and calculate a single data source fault detection coefficient of the high-voltage frequency converter according to all the operating state feedback data representative values. In some embodiments of the present application, when determining a plurality of operating state feedback data representative values corresponding to the operating state feedback data sequence, and calculating a single data source fault detection coefficient of the high-voltage frequency converter according to all the operating state feedback data representative values, it includes: Randomly extracting a first operating state feedback data representative value and a second operating state feedback data representative value; Calculating an operating state feedback data representative difference value of the first operating state feedback data representative value and the second operating state feedback data representative value; Extracting a maximum operating state feedback data representative value and a minimum operating state feedback data representative value from all the operating state feedback data representative values; Calculating an operating state feedback data representative difference value of the maximum operating state feedback data representative value and the minimum operating state feedback data representative value; Determining a ratio of the operating state feedback data representative difference value and the operating state feedback data representative difference value as a to-be-calculated factor; Randomly extracting a third operating state feedback data representative value and a fourth operating state feedback data representative value; Repeating iteration to obtain a plurality of to-be-calculated factors, randomly pairing all the to-be-calculated factors two by two to obtain a plurality of to-be-calculated factor matching groups; According to all the to-be-calculated factor matching groups, calculating a single data source fault detection coefficient of the high-voltage frequency converter.
[0038] In this embodiment, the difference value of the first operating state feedback data representative value and the second operating state feedback data representative value is calculated as an operating state feedback data representative difference value.
[0039] In this embodiment, the difference value of the maximum operating state feedback data representative value and the minimum operating state feedback data representative value is calculated as an operating state feedback data representative difference value.
[0040] In this embodiment, if there is a single operating state feedback data representative value, it can be deleted.
[0041] In this embodiment, the above steps are repeated, and a to-be-calculated factor can be determined according to each two operating state feedback data representative values to obtain a plurality of to-be-calculated factors.
[0042] In this embodiment, if there is a single factor to be calculated, it can be deleted.
[0043] The beneficial effects of the above technical solution are: the present invention calculates the single data source fault detection coefficient of the high voltage frequency converter based on the matching group of all the factors to be calculated, which ensures the calculation accuracy and efficiency of the single data source fault detection coefficient, eliminates calculation errors without the need for manual intervention, avoids the existing simple threshold comparison method for judging faults, and makes the fault detection results of the high voltage frequency converter more accurate and real-time.
[0044] In some embodiments of this application, calculating the single-source fault detection coefficient of the high-voltage frequency converter based on all matching groups of factors to be calculated includes: The single-source fault detection coefficient of the high-voltage frequency converter is calculated according to the following formula: ; Where s is the single data source fault detection coefficient of the high-voltage frequency converter, d is the number of factor matching groups to be calculated, and g1 y Let g2 be a factor to be calculated in the matching group of the y-th factor to be calculated. y Let y be another factor to be calculated in the matching group of the y-th factor to be calculated. For all The minimum value, For all The maximum value.
[0045] S140: Integrate all single-source fault detection coefficients to determine the multi-source fault detection coefficients of the high-voltage frequency converter, and determine whether the high-voltage frequency converter has an operational fault based on the multi-source fault detection coefficients.
[0046] In this embodiment, the multi-source fault detection coefficient of the high-voltage frequency converter is determined according to the following formula: ; Where h is the multi-source fault detection coefficient of the high-voltage frequency converter, k is the number of single-source fault detection coefficients, and q j Let q be the fault detection coefficient for the j-th single data source. min q is the minimum single data source fault detection coefficient. max The maximum single data source failure detection coefficient. For all The maximum value.
[0047] The beneficial effects of the above technical solutions are: the application integrates all single data source fault detection coefficients to determine the multi-data source fault detection coefficient of the high-voltage frequency converter, realizes multi-source data integration processing and calculation, determines the fault condition of the high-voltage frequency converter through data integration in multiple directions, guarantees the multi-element and accuracy of fault detection, and avoids that the fault detection mode is too single.
[0048] In some embodiments of the application, when it is judged whether the high-voltage frequency converter has a running fault according to the multi-data source fault detection coefficient, the following steps are included: a preset multi-data source fault detection coefficient is obtained, and it is judged whether the high-voltage frequency converter has a running fault according to the relationship between the multi-data source fault detection coefficient and the preset multi-data source fault detection coefficient; when the multi-data source fault detection coefficient is less than the preset multi-data source fault detection coefficient, it is judged that the high-voltage frequency converter does not have a running fault; when the multi-data source fault detection coefficient is greater than or equal to the preset multi-data source fault detection coefficient, it is judged that the high-voltage frequency converter has a running fault.
[0049] In this embodiment, the preset multi-data source fault detection coefficient is preferably 12, and can also be adjusted according to actual conditions.
[0050] The beneficial effects of the above technical solutions are: the application judges whether the high-voltage frequency converter has a running fault according to the relationship between the multi-data source fault detection coefficient and the preset multi-data source fault detection coefficient, which can guarantee the real-time fault detection of the high-voltage frequency converter, improve the fault detection accuracy and efficiency of the high-voltage frequency converter, and eliminate the error of manual fault detection.
[0051] In some embodiments of the application, after it is judged that the high-voltage frequency converter has a running fault, the following steps are included: a plurality of preset multi-data source fault detection coefficients are preset; a plurality of preset fault alarm levels are preset; a corresponding preset fault alarm level is selected according to the relationship between the multi-data source fault detection coefficient and the preset multi-data source fault detection coefficient, wherein the multi-data source fault detection coefficient and the preset fault alarm level are in a positive proportional relationship.
[0052] In this embodiment, the number of multi-data source fault detection coefficients is preferably 2, including a first preset multi-data source fault detection coefficient, preferably 15, and a second preset multi-data source fault detection coefficient, preferably 18.
[0053] In the embodiment, the number of preset fault alarm levels is preferably 3, including a first preset fault alarm level, a second preset fault alarm level and a third preset fault alarm level, and the third preset fault alarm level is greater than the second preset fault alarm level, and the second preset fault alarm level is greater than the first preset fault alarm level.
[0054] In the embodiment, when the multi-data-source fault detection coefficient is less than the first preset multi-data-source fault detection coefficient, the fault alarm level of the high-voltage frequency converter is set to the first preset fault alarm level; when the multi-data-source fault detection coefficient is greater than or equal to the first preset multi-data-source fault detection coefficient and less than the second preset multi-data-source fault detection coefficient, the fault alarm level of the high-voltage frequency converter is set to the second preset fault alarm level; and when the multi-data-source fault detection coefficient is greater than or equal to the second preset multi-data-source fault detection coefficient, the fault alarm level of the high-voltage frequency converter is set to the third preset fault alarm level.
[0055] The technical scheme has the beneficial effects that: according to the relationship among the multi-data-source fault detection coefficient, the first preset multi-data-source fault detection coefficient and the second preset multi-data-source fault detection coefficient, the corresponding fault alarm level is selected, which can provide a basis for subsequent fault processing.
[0056] In order to further illustrate the technical idea of the application, the technical scheme of the application will be described in combination with a specific application scenario.
[0057] Correspondingly, as shown in Figure 2 The application also provides a fault detection system of a high-voltage frequency converter, which comprises: a sequence determination module, configured to collect a plurality of running state feedback data of the high-voltage frequency converter at each data collection time stamp based on a pre-set data collection time stamp, and process the running state feedback data to determine a running state feedback data sequence; a first calculation module, configured to select an arbitrary running state feedback data from the running state feedback data sequence, and calculate a running state feedback data representative value of the selected running state feedback data according to the running state feedback data sequence; a second calculation module, configured to determine a plurality of running state feedback data representative values corresponding to the running state feedback data sequence, and calculate a single-data-source fault detection coefficient of the high-voltage frequency converter according to all the running state feedback data representative values; a fault detection module, configured to integrate all the single-data-source fault detection coefficients to determine a multi-data-source fault detection coefficient of the high-voltage frequency converter, and determine whether the high-voltage frequency converter has a running fault according to the multi-data-source fault detection coefficient.
[0058] In the description of the foregoing embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.
[0059] Although the present application has been described with reference to the embodiments above, it is possible to make various modifications thereto and to replace components thereof with equivalents without departing from the scope of the present application. In particular, features in the embodiments disclosed herein can be used in any combination unless there is a structural conflict and combinations thereof are not described in the specification only for the sake of brevity and resource saving.
[0060] It is to be understood by those ordinary skilled in the art that the above only refers to the preferred embodiments of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent replacements for some technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims
1. A failure detection method of a high voltage inverter, characterized by, The method comprises the following steps: acquiring multiple running state feedback data of the high-voltage frequency converter at each data acquisition time stamp based on a preset data acquisition time stamp, and processing the running state feedback data to determine a running state feedback data sequence; selecting an arbitrary running state feedback data from the running state feedback data sequence, and calculating a running state feedback data representative value of the selected running state feedback data according to the running state feedback data sequence; determining multiple running state feedback data representative values corresponding to the running state feedback data sequence, and calculating a single data source fault detection coefficient of the high-voltage frequency converter according to all the running state feedback data representative values; integrating all the single data source fault detection coefficients to determine a multiple data source fault detection coefficient of the high-voltage frequency converter, and judging whether the high-voltage frequency converter has a running fault according to the multiple data source fault detection coefficient.
2. The fault detection method of a high voltage variable frequency drive according to claim 1, wherein, When the running state feedback data is processed to determine the running state feedback data sequence, the method comprises the following steps: constructing an initial running state feedback data sequence based on the order of the data acquisition time stamps, and determining an initial running state feedback data and a terminal running state feedback data; calculating an extreme running state feedback data difference value of the initial running state feedback data and the terminal running state feedback data; calculating a sequence retention factor of the initial running state feedback data sequence according to the extreme running state feedback data difference value and all the running state feedback data; acquiring a preset sequence retention factor, and when the sequence retention factor is greater than the preset sequence retention factor, the initial running state feedback data sequence is taken as the running state feedback data sequence; when the sequence retention factor is less than or equal to the preset sequence retention factor, the initial running state feedback data sequence is sorted from small to large to determine a first running state feedback data and a second running state feedback data; calculating a running state feedback data difference value of the first running state feedback data and the second running state feedback data, and when the running state feedback data difference value is less than a preset running state feedback data difference value, the first running state feedback data is deleted and the second running state feedback data is retained; when the running state feedback data difference value is greater than or equal to the preset running state feedback data difference value, the first running state feedback data and the second running state feedback data are retained; determining a third running state feedback data and a fourth running state feedback data, and calculating a second running state feedback data difference value of the third running state feedback data and the fourth running state feedback data; iterating repeatedly to determine the running state feedback data sequence according to all the retained running state feedback data.
3. The fault detection method of a high voltage variable frequency drive according to claim 2, wherein, When the sequence retention factor of the initial running state feedback data sequence is calculated according to the extreme running state feedback data difference value and all the running state feedback data, the method comprises the following steps: the sequence retention factor of the initial running state feedback data sequence is calculated according to the following formula: ； Wherein, m is the sequence reservation factor of the initial running state feedback data sequence, n is the number of running state feedback data, b1 is the extreme running state feedback data difference value, v i is the minimum value of the i th running state feedback data, is the minimum value of the i th running state feedback data, 4. The fault detection method of a high voltage variable frequency drive according to claim 1, wherein, When the running state feedback data representative value of the selected running state feedback data is calculated according to the running state feedback data sequence, the method comprises the following steps: determining left adjacent operating state feedback data and right adjacent operating state feedback data of the selected operating state feedback data; determining a left adjacent data mean value according to the left adjacent operating state feedback data and determining a right adjacent data mean value according to the right adjacent operating state feedback data; determining a maximum left adjacent operating state feedback data from all the left adjacent operating state feedback data and determining a maximum left data acquisition timestamp corresponding to the maximum left adjacent operating state feedback data; determining a maximum right adjacent operating state feedback data from all the right adjacent operating state feedback data and determining a maximum right data acquisition timestamp corresponding to the maximum right adjacent operating state feedback data; calculating an operating state feedback data representative value of the selected operating state feedback data based on the left adjacent data mean value, the right adjacent data mean value, the maximum left data acquisition timestamp and the maximum right data acquisition timestamp.
5. The fault detection method of a high voltage variable frequency drive according to claim 4, wherein, In the calculation of the operating state feedback data representative value of the selected operating state feedback data based on the left adjacent data mean value, the right adjacent data mean value, the maximum left data acquisition timestamp and the maximum right data acquisition timestamp, comprising: calculating the operating state feedback data representative value of the selected operating state feedback data according to the following formula: ； wherein c is the operating state feedback data representative value of the selected operating state feedback data, z1 is the right adjacent data mean value, z2 is the left adjacent data mean value, a1 is the maximum right data acquisition timestamp and a2 is the maximum left data acquisition timestamp.
6. The fault detection method of a high voltage variable frequency drive according to claim 1, wherein, In the determination of the plurality of operating state feedback data representative values corresponding to the operating state feedback data sequence and the calculation of the single data source fault detection coefficient of the high-voltage frequency converter according to all the operating state feedback data representative values, comprising: randomly extracting a first operating state feedback data representative value and a second operating state feedback data representative value; calculating an operating state feedback data representative difference value of the first operating state feedback data representative value and the second operating state feedback data representative value; extracting a maximum operating state feedback data representative value and a minimum operating state feedback data representative value from all the operating state feedback data representative values; calculating an operating state feedback data representative difference value of the maximum operating state feedback data representative value and the minimum operating state feedback data representative value; determining a ratio of the operating state feedback data representative difference value and the operating state feedback data representative difference value as a to-be-calculated factor; randomly extracting a third operating state feedback data representative value and a fourth operating state feedback data representative value; repeating iteration to obtain a plurality of to-be-calculated factors, randomly pairing all the to-be-calculated factors to obtain a plurality of to-be-calculated factor matching groups; calculating the single data source fault detection coefficient of the high-voltage frequency converter according to all the to-be-calculated factor matching groups.
7. The fault detection method of a high voltage variable frequency drive according to claim 6, wherein, In the calculation of the single data source fault detection coefficient of the high-voltage frequency converter according to all the to-be-calculated factor matching groups, comprising: calculating the single data source fault detection coefficient of the high-voltage frequency converter according to the following formula: ； wherein s is a single data source fault detection coefficient of the high-voltage frequency converter, d is a number of to-be-calculated factor matching groups, g1 y is a to-be-calculated factor in the yth to-be-calculated factor matching group, g2 y is another to-be-calculated factor in the yth to-be-calculated factor matching group, is a minimum value of all is a maximum value of all is a minimum value of all is a maximum value of all 8. The fault detection method of a high voltage variable frequency drive according to claim 1, wherein, In the judgment of whether the high-voltage frequency converter has an operating fault according to the multi-data source fault detection coefficient, comprising: Obtaining a preset multi-data-source fault detection coefficient, and determining whether the high-voltage frequency converter has a running fault according to a relationship between the multi-data-source fault detection coefficient and the preset multi-data-source fault detection coefficient; When the multi-data-source fault detection coefficient is less than the preset multi-data-source fault detection coefficient, it is determined that the high-voltage frequency converter does not have a running fault; When the multi-data-source fault detection coefficient is greater than or equal to the preset multi-data-source fault detection coefficient, it is determined that the high-voltage frequency converter has a running fault.
9. The fault detection method of a high voltage variable frequency drive according to claim 8, wherein, After it is determined that the high-voltage frequency converter has a running fault, the method further comprises: Pre-setting a plurality of preset multi-data-source fault detection coefficients; Pre-setting a plurality of preset fault alarm levels; Selecting a corresponding preset fault alarm level according to a relationship between the multi-data-source fault detection coefficient and the preset multi-data-source fault detection coefficient, wherein the multi-data-source fault detection coefficient and the preset fault alarm level are in a positive proportional relationship.
10. A fault detection system for a high voltage frequency converter, applied to the fault detection method for a high voltage frequency converter as claimed in any one of claims 1-9, characterized in that, The method comprises: A sequence determining module is configured to collect a plurality of running state feedback data of the high-voltage frequency converter at each data collection time stamp based on a pre-set data collection time stamp, and process the running state feedback data to determine a running state feedback data sequence; A first calculating module is configured to select an arbitrary running state feedback data from the running state feedback data sequence, and calculate a running state feedback data representative value of the selected running state feedback data according to the running state feedback data sequence; A second calculating module is configured to determine a plurality of running state feedback data representative values corresponding to the running state feedback data sequence, and calculate a single-data-source fault detection coefficient of the high-voltage frequency converter according to all the running state feedback data representative values; A fault detection module is configured to integrate all the single-data-source fault detection coefficients to determine a multi-data-source fault detection coefficient of the high-voltage frequency converter, and determine whether the high-voltage frequency converter has a running fault according to the multi-data-source fault detection coefficient.