A method and system for quality inspection of aircraft engines based on electrical signal analysis and processing

Abstract

The present invention relates to an aero-engine quality inspection method and system based on electrical signal analysis and processing, belonging to the field of engine testing technology, including collecting noise values ​​and vibration signal values ​​of the engine to be inspected; comparing the noise value with the noise decibel standard value; judging whether the quality of the engine is qualified or not based on the comparison data, and using the two sets of amplitude data collected in a unit time to determine the location of the noise anomaly. The present invention obtains the noise value and vibration signal of the engine through a sound sensor and two sets of vibration sensors respectively. When the engine emits abnormal noise, it can be determined that at least one noise source inside the engine is disabled or has a fault, and the location of the noise source is distinguished by comparing the amplitude data changes in the two sets of vibration signals, providing strong data support for the engine to use noise detection for fault analysis.

Description

Technical Field

[0001] The present invention belongs to the technical field of engine testing, and in particular relates to an aero-engine quality inspection method and system based on electrical signal analysis and processing. Background Art

[0002] As the power source of aviation equipment, the quality of the aircraft engine directly determines the flight safety of the aviation equipment. Therefore, it is very important to analyze the quality of the engine before use.

[0003] In the quality analysis of aircraft engines, the noise analysis of the engine is particularly important. Through the noise analysis of the engine, it is not only possible to distinguish whether the engine is faulty, but also to distinguish the source of the noise. The engine fault analysis and diagnosis can be performed based on the noise of the engine operation. In the existing technology, the noise analysis of the engine is mostly done by manually listening to the noise to subjectively judge the source of the noise. Due to the large number of noise sources in the engine, it is easy to interfere with the analysis of the technicians. At the same time, the judgment results are mostly to determine the approximate fault location, and the detection accuracy cannot be guaranteed.

[0004] Therefore, an aircraft engine quality inspection method and system based on electrical signal analysis and processing are proposed to solve the above-mentioned problems. Summary of the invention

[0005] Technical issues solved

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides an aircraft engine quality inspection method and system based on electrical signal analysis and processing, which can effectively solve the problem in the prior art that manual inspection of engine quality is easily interfered by multiple noise sources.

[0007] Technical Solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] The present invention provides an aircraft engine quality inspection method based on electrical signal analysis and processing, comprising the following steps:

[0010] Step 1: Send the engine to be inspected to a designated location and use sensors to collect noise values ​​and vibration signal values ​​of the engine at the same time. The sensors include a sound sensor and two vibration sensors symmetrically distributed on both sides of the sound sensor. The vibration signal values ​​include at least amplitude data.

[0011] Step 2: Compare the noise value obtained in step 1 with the noise decibel standard value. If the noise value is higher than the noise decibel standard value, then execute step 3; otherwise, execute step 4. The noise decibel standard value is the noise value per unit time of all noise sources that have passed the quality inspection;

[0012] Step 3: Determine that the engine quality is unqualified, and compare the two sets of amplitude data collected per unit time to determine the location of the abnormal noise;

[0013] Step 4: Determine whether the engine quality is qualified;

[0014] The specific comparison steps of the two sets of amplitude data in step 3 are as follows:

[0015] Step 31: Filter the amplitude data and obtain the valid value of the amplitude data;

[0016] Step 32: Compare the effective values ​​of the two sets of amplitude data. When the effective value of one set of amplitude data is higher than the effective value of the other set of amplitude data, execute step 33; otherwise, execute step 34;

[0017] Step 33: determining that the noise source corresponding to the amplitude data fails the quality inspection;

[0018] Step 34: Determine whether the noise source corresponding to the amplitude data is qualified in quality inspection.

[0019] Furthermore, the steps of screening the effective value of the amplitude data in step 31 are specifically as follows:

[0020] S1: Setting an allowable value, which is the maximum number of times the noise source exceeds the amplitude within the sampling time. At the same time, the maximum amplitude comparison threshold of each group of noise sources is set within the sampling time. When the two groups of noise sources exceed the corresponding maximum amplitude comparison threshold per unit time, the number of times is counted respectively, otherwise it is not counted;

[0021] S2: Eliminate the allowed value from the counts obtained in S1, and select the maximum amplitude value corresponding to the counting time period from the remaining counts as a valid value.

[0022] Furthermore, several time periods are set within the value taking time in S1, and a maximum amplitude comparison threshold is set in each time period.

[0023] Further, the S1 also includes:

[0024] S11: Setting a maximum amplitude value. When the amplitude data acquired in any time period is higher than the maximum amplitude value, directly executing step 33.

[0025] Furthermore, the step 2 also includes step 21: setting an error value, wherein the error value is a time period in which the noise source is allowed to emit obvious noise, and when the noise value is within the time interval allowed by the error value, the noise value data collected within the error value is discarded.

[0026] Furthermore, the method further comprises step 22: establishing a two-dimensional coordinate system with the sampling time as the x-axis and the noise value as the y-axis;

[0027] Step 23: Mark the noise value of each time node in the acquisition time in the two-dimensional coordinate system established by W1;

[0028] Step 24: Set a comparison value, which is the maximum noise value allowed in any time period. When the maximum noise value allowed in any time period in step 23 exceeds the comparison value, directly execute step 3, otherwise execute step 4.

[0029] Furthermore, before executing step 4, step 24 also includes:

[0030] Step 241: Mark the noise value of each time node of the noise decibel standard value obtained during the sampling time in the two-dimensional coordinate system established by W1, and calculate the increase of the first noise value corresponding to the adjacent time nodes of the noise decibel standard value;

[0031] Step 242: Calculate the second noise value increase corresponding to the adjacent time nodes of the noise value in step 23;

[0032] Step 243: Set a standard value, which is the maximum increase allowed for the noise value in any unit time period during the sampling time. At the same time, compare the standard value with the two sets of noise value increases obtained in step 241 and step 242. When the noise value increase in step 242 exceeds the standard value, count the number of times and mark the quality inspection product corresponding to the noise value.

[0033] Furthermore, the calculation steps of the two groups of noise value increases are as follows:

[0034] T1: Establish a streamline diagram based on the two-dimensional coordinate system in step 23 and step 241;

[0035] T2: Get the noise values ​​corresponding to the peaks and the valleys adjacent to the peaks in the streamline diagram in T1;

[0036] T3: Substitute the data in T2 into the calculation formula of the noise value increase and compare it with the standard value;

[0037] The calculation formula for the noise value increase is: Wherein dB1 and dB2 represent the maximum noise value and the adjacent minimum noise value in the noise values ​​respectively, and t1 and t2 represent the time nodes corresponding to the maximum noise value and the adjacent minimum noise value respectively.

[0038] In this scheme, based on the above-mentioned aircraft engine quality inspection method based on electrical signal analysis and processing, an aircraft engine quality inspection system based on electrical signal analysis and processing is also proposed, including a data acquisition module, a signal conversion module and a data processing module. The data acquisition module is used to collect the noise value and vibration signal of the engine to be inspected and send the noise value and vibration signal to the signal conversion module. The signal conversion module is used to receive the noise value and vibration signal obtained by the data acquisition module, and convert them into electrical signals and send them to the data processing module at the same time. The data processing module is used to analyze and process the electrical signals, and at the same time, determine the quality inspection result of the engine based on the analysis and processing results and send response information. The response information at least includes one or more of buzzer alarm, light mark, and voice reminder information.

[0039] Furthermore, it also includes a memory, which is used to store noise value increase data after exceeding the standard value.

[0040] Beneficial Effects

[0041] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0042] The present invention obtains the noise value and vibration signal of the engine through a sound sensor and two groups of vibration sensors respectively. When the engine emits abnormal noise, it can be determined that at least one noise source inside the engine is disabled or malfunctions, and the location of the noise source can be distinguished by comparing the amplitude data changes in the two groups of vibration signals, providing strong data support for engine fault analysis using noise detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 This is a system flow chart of an aircraft engine quality inspection method in an embodiment of the present invention;

[0045] Figure 2 This is a schematic diagram of the modules of the aircraft engine quality inspection system in an embodiment of the present invention;

[0046] Figure 3A schematic diagram of noise error value comparison in an embodiment of the present invention;

[0047] Figure 4 Schematic diagram of the noise value increase in an embodiment of the present invention;

[0048] Figure 5 This is an example diagram of a point distribution diagram in an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] The present invention will be further described below in conjunction with the embodiments.

[0051] Example:

[0052] There are many kinds of noises in aircraft engines, such as compressor noise, turbine noise, combustion chamber noise and other noises, but most of these noises are produced by independent devices. Although different devices can produce different noises, once any component of the engine emits abnormal noise, it means that the component has a great risk of disability. Even if the devices do not interfere with each other, once they are installed in aviation equipment, after a certain period of use, the potential consequences and chain reactions brought about by their disability effects are very serious, especially when the aviation equipment is in use. The safety hazards brought about are huge.

[0053] And because the engine is in operation, various noise sources such as the engine's rotational noise, combustion noise, and air noise will merge into a frequency of several thousand hertz, and the noise can be as high as 120 decibels. The error rate of directly collecting these noise data is very high, so these noises must be converted into electrical signal data. Based on this concept, an aviation engine quality inspection system based on signal analysis is designed, which uses a variety of sensors and signal analysis instruments to solve the above problems. After preliminarily judging the quality of the engine, it can use the sound wave effect to determine the location of the noise source, and analyze the fault location in a targeted and high-precision manner.

[0054] For details, please refer to the attached Figure 1-5The aircraft engine quality inspection system in this scheme mainly includes three modules, namely, data acquisition module, signal conversion module and data processing module. After the engine is assembled, it is turned on for inspection to simulate the real use environment so that the entire engine is in operation. The data acquisition module is used to collect the noise value and vibration signal of the engine to be inspected.

[0055] It is worth noting that the number of sensors used to collect noise values ​​and vibration signals in this case is based on the number of noise sources of the engine being tested. A device for collecting noise values ​​is set in the middle of adjacent noise sources, and sensors for collecting vibration signals are set on both sides of the noise collection device. The distance between adjacent noise collection devices is uncertain and depends on the distribution of noise sources. For example, a noise collection sensor for collecting noise values ​​is set between the compressor and the turbine, and two vibration sensors are arranged symmetrically with the noise collection sensor as the center, and the two vibration sensors are always located between the two noise sources.

[0056] After the two sensors collect data, the signals are sent to the signal conversion module. The signal conversion module is mainly used to complete the conversion between sound signals and electrical signals. The signal conversion module is used to receive the noise value and vibration signal obtained by the data acquisition module, and convert it into electrical signals and send it to the data processing module at the same time. The controller inside the data processing module is used to analyze and process the electrical signals, and at the same time, determine the quality inspection results of the engine based on the analysis and processing results and send response information. In this case, it will first analyze whether the engine is in a faulty state. If the engine fails, the fault location can be further determined.

[0057] More specifically, the quality inspection system is described in more detail by the following aircraft engine quality inspection method based on electrical signal analysis and processing, which mainly includes the following steps:

[0058] First, the engine to be inspected needs to be sent to a designated location and the noise value and vibration signal value of the engine are collected by sensors at the same time. The sensors include a sound sensor and two vibration sensors symmetrically distributed on both sides of the sound sensor. The vibration signal value includes at least amplitude data. The designated location in this case is the detection station where the sensors are distributed. After the engine to be inspected is sent to the designated location, the sound sensor and the vibration sensor will correspond to the position of each adjacent noise source (sound-emitting sub-device). When the engine is running, the data related to the adjacent noise sources can be collected separately;

[0059] It is worth noting that since the sub-devices inside the engine are running at the same time, the noise will be mottled and complicated. Since the operating noise channels and frequencies of the sub-devices are relatively regular, in order to improve the detection accuracy, a noise elimination device can be used to eliminate non-target noise information. The specific noise elimination and filtering methods are well-known technologies and will not be elaborated on here. In this case, since the sensor is located closer to the object to be tested, it can more accurately distinguish the noise source to be collected, and has little impact on the analysis of the measured noise, so the noise is not processed.

[0060] Secondly, the noise value obtained in the above steps is compared with the noise decibel standard value. When the noise value is higher than the noise decibel standard value, it means that the engine quality is unqualified. In this case, the noise decibel standard value is the total noise of qualified engines running under the same working environment. When it is detected that the noise of the current inspection engine is significantly higher than the noise decibel standard value, it means that there are certain problems with the quality of the inspection engine and it is an unqualified product.

[0061] It is normal for some engine sub-equipment to emit abnormal noise during initial operation. For example, the air noise in the early stage of operation will be significantly greater than the noise after stable operation, which will affect the analysis of the collected data. Therefore, a certain error value can be set. The error value is the time period in which the noise source is allowed to emit obvious noise. When the collected noise value is within the time interval allowed by the error value, the noise value data collected within the error value is discarded. If the noise value data collected in the time period after the noise source is within the error value is significantly higher than the normal data, the engine has a technical defect.

[0062] More specifically, based on the noise value data after eliminating the error value, a two-dimensional coordinate system can be established with the time as the x-axis and the noise value as the y-axis;

[0063] Then the noise value of each time node in the acquisition time is marked in the two-dimensional coordinate system established by W1;

[0064] Finally, a comparison value is set. The comparison value is the maximum noise value allowed in any time period. When the maximum noise value allowed in any time period within the obtained noise value (after eliminating the error value) exceeds the comparison value, the engine quality is directly judged to be unqualified, otherwise the engine quality is judged to be qualified. That is, during the detection process, once excessive noise occurs, the engine quality is unqualified.

[0065] At this time, it is necessary to determine the location of the noise source. Abnormal noise will cause changes in amplitude, especially for vibration sensors installed close to the noise source. The greater the noise, the greater the amplitude. After determining that the engine quality does not meet the standards, it is necessary to compare the two sets of amplitude data collected in the unit time to determine the location of the abnormal noise and determine the location of the noise source in a targeted manner. In this case, it is necessary to compare each set of amplitude data at the same time. When one set of amplitude data is obviously abnormal, the location of the fault source can be determined.

[0066] Specifically, taking the screening step of one set of amplitude data as an example, the amplitude data is first screened and the effective value of the amplitude data is obtained, and then the effective values ​​of the two sets of amplitude data are compared. When the effective value of one set of amplitude data is higher than the effective value of the other set of amplitude data, it is determined that the noise source corresponding to the amplitude data fails the quality inspection, otherwise it is determined that the noise source corresponding to the amplitude data passes the quality inspection;

[0067] The screening step of the effective value of the amplitude data in the above steps first needs to set the allowable value, which is the maximum number of times the amplitude of the noise source exceeds the value within the value-taking time. At the same time, the maximum amplitude comparison threshold of each group of noise sources is set within the value-taking time. When the two groups of noise sources exceed the corresponding maximum amplitude comparison threshold per unit time, the number of times is counted respectively, otherwise it is not counted;

[0068] Secondly, the counts obtained in the above are removed from the allowed value, and the maximum amplitude value corresponding to the counting time period is screened out from the remaining counts as a valid value.

[0069] As mentioned above, the noise in the initial state of the noise source will be relatively large. Similarly, it is normal for the noise to be emitted here and for the engine housing to vibrate. The amplitude data in this time period is naturally normal. In order to avoid affecting subsequent judgments, the value here needs to be removed.

[0070] Attach Figure 3 For example, within a 5-second period, a noise source vibrates 5 times, of which the maximum amplitude comparison threshold a is exceeded 3 times, so the effective vibration value of this period is determined to be 2 times. Assuming that the set allowable value is 1 time, which is less than 2 of the effective values, the noise source in this period vibrated abnormally once. If abnormal vibrations occur intermittently in subsequent time periods, the sub-equipment has quality problems.

[0071] In this case, the total sampling time is equally divided into several time periods, and the maximum amplitude comparison threshold and effective value are set in each time period respectively, and the vibration data in different time periods are analyzed one by one.

[0072] However, once the engine shows severe abnormality and the number of vibrations is obviously abnormal, a maximum amplitude value can be set. When the amplitude data obtained in any time period is much higher than the maximum amplitude value, the sub-device naturally has a technical problem and the engine (sub-device) is judged to be unqualified.

[0073] Some indexes and indicators are consistent with normal data, but there are a large number of slight noise anomalies (within the normal range). Although there are no major technical defects, the engine still needs to be returned to the factory for detailed inspection and even constant attention needs to be paid to the engine. Sensors, alarms and other monitoring equipment can be installed during the use of the engine to provide timely warnings in case of any abnormality.

[0074] For details, please refer to the attached Figure 4 First, mark the noise value of each time node of the noise decibel standard value obtained during the sampling time in the two-dimensional coordinate system established in the above steps, and calculate the increase of the first noise value corresponding to the adjacent time nodes of the noise decibel standard value;

[0075] Secondly, calculate the increase in the second noise value corresponding to the adjacent time nodes of the noise value in the above step;

[0076] Finally, the standard value is set. The standard value is the maximum increase allowed in the noise value in any unit time period during the sampling time. At the same time, the standard value is compared with the increase in the two sets of noise values ​​obtained. When the increase in the noise value in the above steps exceeds the standard value, the number of times is counted and the quality inspection product corresponding to the noise value is marked.

[0077] In this case, the calculation steps for the increase in the two sets of noise values ​​are as follows:

[0078] First, a streamline diagram is established based on the two two-dimensional coordinate systems established in the above steps;

[0079] Secondly, obtain the noise values ​​corresponding to the peak in the streamline diagram in the above step and the peak valley adjacent to the peak;

[0080] Finally, the data in the above steps are substituted into the calculation formula of the noise value increase and compared with the standard value;

[0081] The calculation formula for the noise value increase in this case is: Where dB1 and dB2 represent the maximum noise value and the adjacent minimum noise value in the noise value, respectively. T1 and t2 represent the time nodes corresponding to the maximum noise value and the adjacent minimum noise value, respectively. When the calculated noise value increases too many times beyond the standard value, it is necessary to pay attention to the engine under quality inspection. During the inspection process, the time nodes that appear during the inspection time can be seen in real time through the background. The following can be used to Figure 5The detection situation can be clearly understood from the dot distribution diagram shown in the figure (where each rectangular grid represents one second. When the rectangular grid is black, the increase in the noise value at that time point exceeds the standard value. Otherwise, it is a normal state. In the actual system, after the mouse is moved to the black rectangular frame, the current value and the increase compared with the previous time period can be clearly displayed.

[0082] In this scheme, based on the above-mentioned aircraft engine quality inspection method based on electrical signal analysis and processing, an aircraft engine quality inspection system based on electrical signal analysis and processing is also proposed, including a data acquisition module, a signal conversion module and a data processing module. The data acquisition module is used to collect the noise value and vibration signal of the engine to be inspected and send the noise value and vibration signal to the signal conversion module. The signal conversion module is used to receive the noise value and vibration signal obtained by the data acquisition module, and convert them into electrical signals and send them to the data processing module at the same time. The data processing module is used to analyze and process the electrical signals, and at the same time, determine the quality inspection result of the engine based on the analysis and processing result and send response information. The response information at least includes one or more of buzzer alarm, light mark, and voice reminder information.

[0083] It also includes a memory, which is used to store noise value increase data after exceeding the standard value. When the noise value increase exceeds the standard value too many times, although the overall quality of the engine is qualified, in order to ensure the safe use of the engine, it is necessary to further inspect the engine, and at the same time upload the subsequent use of the engine, track in real time and use sensors to monitor the engine's use data periodically or in real time.

[0084] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.

Claims

1. An aircraft engine quality inspection method based on electrical signal analysis and processing, It is characterized in that The steps include: Step 1: Send the engine to be inspected to a designated location and use sensors to collect noise values ​​and vibration signal values ​​of the engine at the same time. The sensors include a sound sensor and two vibration sensors symmetrically distributed on both sides of the sound sensor. The vibration signal value includes at least amplitude data; Step 2: Compare the noise value obtained in step 1 with the noise decibel standard value. If the noise value is higher than the noise decibel standard value, then execute step 3; otherwise, execute step 4. The noise decibel standard value is the noise value per unit time of all noise sources that have passed the quality inspection; Step 3: Determine that the engine quality is unqualified, and compare the two sets of amplitude data collected per unit time to determine the location of the abnormal noise; Step 4: Determine whether the engine quality is qualified; The specific comparison steps of the two sets of amplitude data in step 3 are as follows: Step 31: Filter the amplitude data and obtain the valid value of the amplitude data; Step 32: Compare the effective values ​​of the two sets of amplitude data. When the effective value of one set of amplitude data is higher than the effective value of the other set of amplitude data, execute step 33; otherwise, execute step 34; Step 33: determining that the noise source corresponding to the amplitude data fails the quality inspection; Step 34: Determine whether the noise source corresponding to the amplitude data is qualified in quality inspection.

2. The aircraft engine quality inspection method based on electrical signal analysis and processing according to claim 1, It is characterized in that The specific steps of screening the effective value of the amplitude data in step 31 are as follows: S1: Setting an allowable value, which is the maximum number of times the noise source exceeds the amplitude within the sampling time. At the same time, the maximum amplitude comparison threshold of each group of noise sources is set within the sampling time. When the two groups of noise sources exceed the corresponding maximum amplitude comparison threshold per unit time, the number of times is counted respectively, otherwise it is not counted; S2: Eliminate the allowed value from the counts obtained in S1, and select the maximum amplitude value corresponding to the counting time period from the remaining counts as a valid value.

3. The aircraft engine quality inspection method based on electrical signal analysis and processing according to claim 2, It is characterized in that A plurality of time periods are set within the value taking time in S1, and a maximum amplitude comparison threshold is set in each time period.

4. The aircraft engine quality inspection method based on electrical signal analysis and processing according to claim 2, It is characterized in that The S1 further comprises: S11: Setting a maximum amplitude value. When the amplitude data acquired in any time period is higher than the maximum amplitude value, directly executing step 33.

5. The aircraft engine quality inspection method based on electrical signal analysis and processing according to claim 1, It is characterized in that The step 2 also includes: Step 21: setting an error value, wherein the error value is the time period during which the noise source is allowed to emit obvious noise. When the noise value is within the time period allowed by the error value, the noise value data collected within the error value is discarded.

6. The aircraft engine quality inspection method based on electrical signal analysis and processing according to claim 5, It is characterized in that Also includes: Step 22: Establish a two-dimensional coordinate system with the sampling time as the x-axis and the noise value as the y-axis; Step 23: Mark the noise value of each time node in the acquisition time in the two-dimensional coordinate system established by W1; Step 24: Set a comparison value, which is the maximum noise value allowed in any time period. When the maximum noise value allowed in any time period in step 23 exceeds the comparison value, directly execute step 3, otherwise execute step 4.

7. The aircraft engine quality inspection method based on electrical signal analysis and processing according to claim 6, It is characterized in that The step 24 further includes, before executing step 4: Step 241: Mark the noise value of each time node of the noise decibel standard value obtained during the sampling time in the two-dimensional coordinate system established by W1, and calculate the increase of the first noise value corresponding to the adjacent time nodes of the noise decibel standard value; Step 242: Calculate the second noise value increase corresponding to the adjacent time nodes of the noise value in step 23; Step 243: Set a standard value, which is the maximum increase allowed for the noise value in any unit time period during the sampling time. At the same time, compare the standard value with the two sets of noise value increases obtained in step 241 and step 242. When the noise value increase in step 242 exceeds the standard value, count the number of times and mark the quality inspection product corresponding to the noise value.

8. The aircraft engine quality inspection method based on electrical signal analysis and processing according to claim 7, It is characterized in that The calculation steps of the two groups of noise value increases are as follows: T1: Establish a streamline diagram based on the two-dimensional coordinate system in step 23 and step 241; T2: Get the noise values ​​corresponding to the peaks and the valleys adjacent to the peaks in the streamline diagram in T1; T3: Substitute the data in T2 into the calculation formula of the noise value increase and compare it with the standard value; The calculation formula for the noise value increase is: Wherein dB1 and dB2 represent the maximum noise value and the adjacent minimum noise value in the noise values ​​respectively, and t1 and t2 represent the time nodes corresponding to the maximum noise value and the adjacent minimum noise value respectively.

9. An aircraft engine quality inspection system based on electrical signal analysis and processing, using an aircraft engine quality inspection method based on electrical signal analysis and processing as claimed in any one of claims 1 to 8, It is characterized in that include: A data acquisition module is used to collect the noise value and vibration signal of the engine to be inspected and send the noise value and vibration signal to the signal conversion module; The signal conversion module is used to receive the noise value and vibration signal obtained by the data acquisition module, convert them into electrical signals and send them to the data processing module at the same time; A data processing module is used to analyze and process the electrical signal, and determine the quality inspection result of the engine based on the analysis and processing result and issue a response message; The response information includes at least one or more of buzzer alarm, light mark, and voice reminder information.

10. The aircraft engine quality inspection system based on electrical signal analysis and processing according to claim 9, It is characterized in that It also includes a memory, which is used to store noise value increase data after exceeding the standard value.

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