Generator drive fault detection system

Abstract

The present invention is applicable to the technical field of generator detection, and provides a generator transmission fault detection system, comprising: a data detection module, for detecting the real-time rotation speed R of the generator, the real-time noise intensity dB when the generator reaches the rated speed, and the real-time lubricating oil temperature T; a data storage module, connected to the data detection module; a data processing module, for further analyzing and predicting the fault condition of the generator according to the abnormal data of the noise intensity; an abnormal interaction module, connected to the data processing module, for displaying the processing result of the data processing module and feeding back to the user client, thereby, the present invention sets a system for detecting the transmission state of the generator, ensures that the fault of the generator can be predicted and detected by measuring the parameters of the generator, and then calculating and predicting the data, so as to assist personnel in locating the fault and optimize the fault locating process of the generator.

Description

Technical Field

[0001] The invention relates to the technical field of generator detection, and in particular to a generator transmission fault detection system. Background Art

[0002] As a common power equipment, generator sets are widely used in ships, fixed power stations, traction locomotives and other fields. According to relevant statistics, the maintenance cost of power units accounts for about 1 / 3 of the total ship maintenance cost. The current generator set maintenance is mainly based on post-fault maintenance and regular planned maintenance. There is a lack of research and technical means in condition-based maintenance (CBM). The prognostic and health management (PHM) strategy has received more and more attention and application.

[0003] Most of the existing generator sets are detected and judged based on the operator's experience and on-site instruments. Although most generator sets are also equipped with monitoring and alarm systems, most of them are just simple parameter out-of-limit alarms and do not have fault prediction and diagnosis functions. Therefore, once a fault occurs, it is difficult to eliminate it in time. It has great limitations. Moreover, traditional parameter alarms cannot automatically locate the general location of the fault, and are less targeted and difficult to troubleshoot.

[0004] In summary, the prior art obviously has inconveniences and defects in practical use, so it is necessary to improve it. Summary of the invention

[0005] In view of the above-mentioned defects, the purpose of the present invention is to provide a generator transmission fault detection system, which can set up a system for detecting the transmission state of the generator, ensure that the parameters of the generator can be measured, and then through data calculation and prediction, the fault of the generator can be predicted and detected, assisting personnel to locate the fault and optimizing the fault location process of the generator.

[0006] In order to achieve the above-mentioned purpose, the present invention provides a generator transmission fault detection system, comprising: a data detection module, which detects the real-time rotation speed R of the generator, the real-time noise intensity dB when the generator reaches the rated speed, and the real-time lubricating oil temperature T; a data storage module, which is connected to the data detection module, stores the noise intensity data and the lubricating oil temperature data detected by the data detection module and performs preliminary processing on the data; a data processing module, which processes the data of the data storage module, obtains the abnormal data of the noise intensity by calculation, and further analyzes and predicts the fault condition of the generator based on the abnormal data of the noise intensity; and an abnormal interaction module, which is connected to the data processing module, displays the processing results of the data processing module and feeds back to the user client.

[0007] According to the generator transmission fault detection system of the present invention, the data storage module includes an input unit, which is used to input basic parameters of the generator, and the basic parameters include the rated speed R0 of the generator, the number n of the engine cylinders of the generator and the cylinder power cycle Tab of the engine.

[0008] According to the generator transmission fault detection system of the present invention, the processing steps of the data processing module are as follows:

[0009] S1, segment the collected real-time noise intensity dB data according to the time of the engine cylinder working cycle Tab, then form a noise intensity set SetdB and take the average value of the noise intensity set and store it to form a normal data set, each element in the normal data set is the noise intensity mean AdB;

[0010] S2. Process the normal data set to determine the standard upper limit value AdB of the noise intensity mean AdB in the normal data set. max and the standard lower limit value AdB min , set the standard upper limit value AdB max and the standard lower limit value AdB min The real-time noise intensity mean AdB collected in real time t Compare and determine the real-time noise intensity mean AdB t Whether it is a normal noise intensity mean, and correspondingly storing the normal noise intensity mean in the normal data set and storing the abnormal noise intensity mean in the abnormal data set;

[0011] S3, determining the occurrence ratio of abnormal noise intensity mean value within a unit time, and when the occurrence ratio is greater than a predetermined value, analyzing the noise intensity set SetdB corresponding to the noise intensity mean value, and detecting and analyzing the real-time lubricating oil temperature T;

[0012] S4. Obtain the generator fault detection result by analyzing the noise intensity set SetdB and the real-time lubricating oil temperature T corresponding to the noise intensity mean.

[0013] According to the generator transmission fault detection system of the present invention, in step S2:

[0014] S2.1, sort the normal data set in ascending order;

[0015] S2.2, calculate the first quartile Q1 and the third quartile Q3 in the normal data set;

[0016] S2.3, calculate the standard upper limit value AdB max and the standard lower limit value AdB min , where the standard upper limit value AdB max =Q3 +1.5×(Q3-Q1), standard lower limit value AdB min =Q1-1.5×(Q3-Q1).

[0017] According to the generator transmission fault detection system of the present invention, in step S2.2, it is first determined whether the number of elements A in the normal data set is a multiple of four or a non-multiple of four:

[0018] When the number of elements A is a multiple of four, Q1 is the value located at position A / 4 in the sorted normal data set, and Q3 is the value located at position 3×A / 4 in the sorted normal data set;

[0019] When the number of elements A is not a multiple of four, Q1 is the weighted average of the values ​​of the two integer positions above and below the decimal obtained at A / 4 in the sorted normal data set, and Q3 is the weighted average of the values ​​of the two integer positions above and below the decimal obtained at 3×A / 4 in the sorted normal data set.

[0020] According to the generator transmission fault detection system of the present invention, when the real-time noise intensity mean value AdB t >Standard upper limit value AdB max When , the element size in the noise intensity set SetdB corresponding to the moment is analyzed, the peak number N of the elements in the noise intensity set SetdB is determined, and the peak number N is compared with the number of engine cylinders n:

[0021] When N>n, the peak value number N increases abnormally, and it is judged that the engine combustion state is abnormal. First, the engine ignition state is checked. If there is no abnormality, the real-time lubricating oil temperature T of the engine is detected and analyzed to determine the location of the mechanical fault;

[0022] When N=n, the peak values ​​are compared. If the peak value is abnormal, the engine combustion state is judged to be abnormal. When troubleshooting, the engine combustion state is first checked. If the peak value is normal, the real-time lubricating oil temperature T is tested to determine the location of the mechanical fault.

[0023] When N<n, there must be a problem of missing cylinders in the engine, and the overall noise intensity is abnormal, requiring a comprehensive troubleshooting of the generator.

[0024] According to the generator transmission fault detection system of the present invention, when N≥n, the real-time lubricating oil temperature T is detected, and then it is determined whether the real-time lubricating oil temperature T is abnormally increased. If the real-time lubricating oil temperature T is abnormally increased, the engine transmission fault is first checked. If the real-time lubricating oil temperature T is normal, the generator transmission fault is first checked.

[0025] According to the generator transmission fault detection system of the present invention, when the standard lower limit value AdB appears min ≤ Real-time noise intensity average AdB t ≤Standard upper limit value AdB max , it is judged that the generator set is in normal state;

[0026] When the standard lower limit value AdB appears min > Real-time noise intensity average AdB t When , the element size in the noise intensity set SetdB corresponding to the moment is analyzed, the peak number N of the elements in the noise intensity set SetdB is determined, and the peak number N is compared with the number of engine cylinders n:

[0027] When N≠n, the engine combustion is abnormal, and the engine combustion condition should be checked directly;

[0028] When N=n, it is determined that the generator set is in a normal state.

[0029] According to the generator transmission fault detection system of the present invention, it also includes a real-time data caching module for caching the collected real-time data. The data detection module includes a noise detection unit for detecting the overall noise intensity of the generator and a lubricating oil temperature detection unit for detecting the engine lubricating oil temperature.

[0030] The present invention provides a generator transmission fault detection system, comprising: a data detection module, which detects the real-time rotation speed R of the generator, the real-time noise intensity dB when the generator reaches the rated speed, and the real-time lubricating oil temperature T, to ensure that the data measured at this time is in a stable state, and the data will not be greatly affected by the rotation speed of the generator, thereby ensuring the reliability and accuracy of data detection and increasing the accuracy of later prediction; a data storage module, which is connected to the data detection module, stores the noise intensity data and lubricating oil temperature data detected by the data detection module and performs preliminary processing on the data, thereby ensuring the pre-processing process of the data and optimizing the data processing speed; a data processing module, which processes the data of the data storage module, obtains the abnormal data of the noise intensity by calculation, and performs a pre-processing on the abnormal data of the noise intensity. The fault condition of the generator is analyzed and predicted in one step. The fault position of the generator is located by analyzing the abnormal data in combination with the temperature information of the lubricating oil, and the maintenance personnel are guided to reduce the time for the maintenance personnel to locate the fault position and increase the maintenance speed; the abnormal interaction module is connected to the data processing module, and the processing results of the data processing module are displayed and fed back to the user client to ensure that the predicted results can be interacted with the operator, thereby providing guiding opinions to the maintenance personnel. In summary, the technical effect produced by the present invention is to set up a system for detecting the transmission state of the generator, ensure that the parameters of the generator can be measured, and then the fault of the generator can be predicted and detected through data calculation and prediction, so as to assist personnel in locating the fault and optimize the fault location process of the generator. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the control flow structure of the present invention;

[0032] Figure 2 It is a structural schematic diagram of the data detection module of the present invention. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0034] See also Figure 1 and Figure 2The present invention provides a generator transmission fault detection system, which includes a data detection module for detecting the real-time rotation speed R of the generator, the real-time noise intensity dB when the generator reaches the rated speed, and the real-time lubricating oil temperature T. The data detection module includes a noise detection unit for detecting the overall noise intensity of the generator and a lubricating oil temperature detection unit for detecting the engine lubricating oil temperature, so as to ensure that the data measured at this time is in a stable state, and the data will not be greatly affected by the rotation speed of the generator, thereby ensuring the reliability and accuracy of data detection and increasing the accuracy of subsequent predictions; a data storage module is connected to the data detection module, and stores the noise intensity data and lubricating oil temperature data detected by the data detection module and performs preliminary analysis on the data. Processing, to ensure the pre-processing process of data; the data processing module, to process the data of the data storage module, to obtain the abnormal data of noise intensity by calculation, to further analyze and predict the fault condition of the generator based on the abnormal data of noise intensity, to locate the fault position of the generator through the analysis of the abnormal data combined with the temperature information of the lubricating oil, to provide guidance to the maintenance personnel, to reduce the time for the maintenance personnel to locate the fault position, and to increase the maintenance speed; the abnormal interaction module, connected with the data processing module, to display the processing results of the data processing module and to feed back to the user client, to ensure that the predicted results can be interacted with the operator, so as to provide guiding opinions to the maintenance personnel, and also includes a real-time data caching module to ensure that the measured real-time data is cached to facilitate data processing.

[0035] Preferably, the data storage module of the present invention includes an input unit, which is used to input basic parameters of the generator. The basic parameters include the rated speed R0 of the generator, the number n of the engine cylinders of the generator and the cylinder work cycle Tab of the engine, which refers to the time it takes for each cylinder of the engine to work once, so as to facilitate the collection of measured data and ensure that the status of the generator can be monitored.

[0036] In addition, the processing steps of the data processing module of the present invention are as follows:

[0037] S1. Segment the collected real-time noise intensity dB data according to the time of the cylinder power cycle Tab of the engine, then form a noise intensity set SetdB and store the average value of the noise intensity set SetdB to form a normal data set. Each element in the normal data set is the noise intensity mean AdB. The length of the data stored in the normal data set is fixed at a certain value. When the length is exceeded during measurement, the length of the normal data set is guaranteed by overwriting the earliest data in the set to prevent the length of the normal data set from being too large, resulting in a long data processing time and affecting the detection efficiency. At the same time, the normal data set is guaranteed to be in an updated state at all times, so that when the state of the generator changes normally, the normal data set at this time learns and corrects itself, thereby improving the accuracy of detection;

[0038] S2. Process the normal data set to determine the standard upper limit value AdB of the noise intensity mean AdB in the normal data set. max and the standard lower limit value AdB min , set the standard upper limit value AdB max and the standard lower limit value AdB min The real-time noise intensity mean AdB collected in real time t Compare and determine the real-time noise intensity mean AdB t Whether it is a normal noise intensity mean value, and store the normal noise intensity mean value in the normal data set, and store the abnormal noise intensity mean value in the abnormal data set, so as to facilitate further processing and analysis of the abnormal data, thereby locating the fault;

[0039] S3, determining the occurrence ratio of abnormal noise intensity mean value within a unit time, when the occurrence ratio is greater than a predetermined value (the predetermined value can be set manually and corrected by experience), analyzing the noise intensity set SetdB corresponding to the noise intensity mean value, and detecting and analyzing the real-time lubricating oil temperature T;

[0040] S4. Obtain the generator fault detection result by analyzing the noise intensity set SetdB and the real-time lubricating oil temperature T corresponding to the noise intensity mean.

[0041] Furthermore, in step S2 of the present invention, when calculating the standard upper limit value AdB max and the standard lower limit value AdB min hour:

[0042] S2.1, sort the normal data set in ascending order;

[0043] S2.2, calculate the first quartile Q1 and the third quartile Q3 in the normal data set, first determine whether the number of elements A in the normal data set is a multiple of four or a non-multiple of four, when the number of elements A is a multiple of four, Q1 is the value located at the A / 4 position in the sorted normal data set, Q3 is the value located at the 3×A / 4 position in the sorted normal data set;

[0044] When the number of elements A is not a multiple of four, Q1 is the weighted average of the values ​​of the two integer positions above and below the decimal obtained at A / 4 in the sorted normal data set, and Q3 is the weighted average of the values ​​of the two integer positions above and below the decimal obtained at 3×A / 4 in the sorted normal data set. The position with the decimal has a certain relationship with the mark values ​​before and after the position. The weighted average is the weighted average of the mark values ​​at the two integer positions adjacent to the decimal. The size of the weight depends on the positional relationship between the obtained decimal and the two adjacent integers. For example: the decimal obtained by 3×A / 4 is X, the integer before the decimal is X1, and the element corresponding to the position is Y1. The next integer is X2, and the element corresponding to the position is Y2. At this time, the value of the weight K=X-X1, and the weighted average Q3=Y1+K×(Y2-Y1);

[0045] S2.3, calculate the standard upper limit value AdB max and the standard lower limit value AdB min , where the standard upper limit value AdB max =Q3 +1.5×(Q3-Q1), standard lower limit value AdB min =Q1-1.5×(Q3-Q1).

[0046] Better, when the real-time noise intensity mean AdB appears, the present invention t >Standard upper limit value AdB max When the noise is abnormal, it is necessary to detect the state of the generator and predict the fault. The element size inside the noise intensity set SetdB corresponding to the moment is analyzed to determine the peak number N of the elements inside the noise intensity set SetdB, and compare the peak number N with the number of engine cylinders n:

[0047] When N>n, the peak value number N increases abnormally. There may be abnormal ignition time or abnormal ignition area during combustion inside the engine. This problem is more serious. Therefore, it is judged that the engine combustion state is abnormal. First, the engine ignition state is troubleshooted. If there is a problem, the fault position is located. If there is no problem, the mechanical fault is analyzed. The real-time lubricating oil temperature T is detected and analyzed to determine the location of the mechanical fault. At this time, it is determined whether the real-time lubricating oil temperature T increases abnormally. If the real-time lubricating oil temperature T increases abnormally, the engine transmission fault is first checked. If the real-time lubricating oil temperature T is normal, the generator transmission fault is first checked. This reduces the troubleshooting time and optimizes the troubleshooting process.

[0048] When N=n, the number of peaks is normal. By comparing the size of the peaks, when the peak size is abnormal, it is determined that the engine combustion state is abnormal. When troubleshooting, the engine combustion state is checked first. When the peak size is normal, the real-time lubricating oil temperature T is detected to determine the location of the mechanical fault. At this time, it is determined whether the real-time lubricating oil temperature T is abnormally increased. If the real-time lubricating oil temperature T is abnormally increased, the engine transmission fault is first checked. If the real-time lubricating oil temperature T is normal, the generator transmission fault is first checked. This can also reduce the troubleshooting time and optimize the troubleshooting process.

[0049] When N<n, there must be a problem of missing cylinders in the engine, and the overall noise intensity is abnormal, requiring a comprehensive troubleshooting of the generator.

[0050] Further, in the present invention, when the standard lower limit value AdB appears min ≤ Real-time noise intensity average AdB t ≤Standard upper limit value AdB max At this time, it is judged that the generator set is in normal state and no troubleshooting is required;

[0051] When the standard lower limit value AdB appears min > Real-time noise intensity average AdB t When , the element size in the noise intensity set SetdB corresponding to the moment is analyzed, the peak number N of the elements in the noise intensity set SetdB is determined, and the peak number N is compared with the number of engine cylinders n:

[0052] When N≠n, the engine combustion is abnormal, and the engine combustion condition should be checked directly;

[0053] When N=n, it is judged that the generator set is in normal state, which may be related to the load size and no adjustment is required.

[0054] In summary, the present invention provides a generator transmission fault detection system, including: a data detection module, which detects the real-time rotation speed R of the generator, the real-time noise intensity dB when the generator reaches the rated speed, and the real-time lubricating oil temperature T, to ensure that the data measured at this time is in a stable state, and the data will not be greatly affected by the rotation speed of the generator, thereby ensuring the reliability and accuracy of data detection and increasing the accuracy of subsequent predictions; a data storage module, which is connected to the data detection module, stores the noise intensity data and lubricating oil temperature data detected by the data detection module and performs preliminary processing on the data, thereby ensuring the pre-processing process of the data; a data processing module, which processes the data of the data storage module, obtains the abnormal data of the noise intensity by calculation, and further processes the abnormal data of the noise intensity. Analyze and predict the fault conditions of the generator, locate the fault position of the generator through the analysis of abnormal data combined with the temperature information of the lubricating oil, provide guidance to maintenance personnel, reduce the time for maintenance personnel to locate the fault position, and increase the maintenance speed; the abnormal interaction module is connected to the data processing module, and the processing results of the data processing module are displayed and fed back to the user client, ensuring that the predicted results can be interacted with the operator, thereby providing guiding opinions to the maintenance personnel. In summary, the technical effect produced by the present invention is to set up a system for detecting the transmission state of the generator, ensure that the parameters of the generator can be measured, and then through data calculation and prediction, the fault of the generator can be predicted and detected, auxiliary personnel can locate the fault, and optimize the fault location efficiency of the generator.

[0055] Of course, the present invention may have many other embodiments. Without departing from the spirit and essence of the present invention, those skilled in the art may make various corresponding changes and modifications based on the present invention, but these corresponding changes and modifications should all fall within the scope of protection of the claims attached to the present invention.

[0056] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and the like are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", and the like may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

Claims

1. A generator transmission fault detection system, characterized in that: include: The data detection module detects the real-time rotation speed R of the generator, the real-time noise intensity dB when the generator reaches the rated speed, and the real-time lubricating oil temperature T; A data storage module is connected to the data detection module, and stores the noise intensity data and lubricating oil temperature data detected by the data detection module and performs preliminary processing on the data. The data storage module includes an input unit, and the input unit is used to input basic parameters of the generator, and the basic parameters include the rated speed R0 of the generator, the number of engine cylinders n of the generator, and the cylinder power cycle Tab of the engine; The data processing module processes the data of the data storage module, obtains abnormal data of noise intensity by calculation, and further analyzes and predicts the fault condition of the generator based on the abnormal data of noise intensity; The abnormal interaction module is connected with the data processing module to display the processing results of the data processing module and feed back to the user client; The processing steps of the data processing module are as follows: S1, segment the collected real-time noise intensity dB data according to the time of the engine cylinder working cycle Tab, and then form a noise intensity set SetdB, take the average value of the noise intensity set SetdB and store it to form a normal data set, each element in the normal data set is the noise intensity mean value AdB; S2. Process the normal data set to determine the standard upper limit value AdB of the noise intensity mean AdB in the normal data set. max and the standard lower limit value AdB min , set the standard upper limit value AdB max and the standard lower limit value AdB min The real-time noise intensity mean AdB collected in real time t Compare and determine the real-time noise intensity mean AdB t Whether it is a normal noise intensity mean, and correspondingly storing the normal noise intensity mean in the normal data set and storing the abnormal noise intensity mean in the abnormal data set; S3, determining the occurrence ratio of abnormal noise intensity mean value within a unit time, and when the occurrence ratio is greater than a predetermined value, analyzing the noise intensity set SetdB corresponding to the noise intensity mean value, and detecting and analyzing the real-time lubricating oil temperature T; S4. Obtain the generator fault detection result by analyzing the noise intensity set SetdB and the real-time lubricating oil temperature T corresponding to the noise intensity mean.

2. The generator transmission fault detection system according to claim 1, characterized in that: In step S2: S2.1, sort the normal data set in ascending order; S2.2, calculate the first quartile Q1 and the third quartile Q3 in the normal data set; S2.3, calculate the standard upper limit value AdB max and the standard lower limit value AdB min , where the standard upper limit value AdB max =Q3 +1.5×(Q3-Q1), standard lower limit value AdB min =Q1-1.5×(Q3-Q1).

3. The generator transmission fault detection system according to claim 2, characterized in that: In step S2.2, first determine whether the number of elements A in the normal data set is a multiple of four or a non-multiple of four: When the number of elements A is a multiple of four, Q1 is the value located at position A / 4 in the sorted normal data set, and Q3 is the value located at position 3×A / 4 in the sorted normal data set; When the number of elements A is not a multiple of four, Q1 is the weighted average of the values ​​of the two integer positions above and below the decimal obtained at A / 4 in the sorted normal data set, and Q3 is the weighted average of the values ​​of the two integer positions above and below the decimal obtained at 3×A / 4 in the sorted normal data set.

4. The generator transmission fault detection system according to claim 3, characterized in that: When the real-time noise intensity mean AdB t >Standard upper limit value AdB max When , the element size in the noise intensity set SetdB corresponding to the moment is analyzed, the peak number N of the elements in the noise intensity set SetdB is determined, and the peak number N is compared with the number of engine cylinders n: When N>n, the peak value number N increases abnormally, and it is judged that the engine combustion state is abnormal. First, the engine ignition state is checked. If there is no abnormality, the real-time lubricating oil temperature T of the engine is detected and analyzed to determine the location of the mechanical fault; When N=n, the peak values ​​are compared. If the peak value is abnormal, the engine combustion state is judged to be abnormal. When troubleshooting, the engine combustion state is first checked. If the peak value is normal, the real-time lubricating oil temperature T is tested to determine the location of the mechanical fault. When N<n, there must be a problem of missing cylinders in the engine, and the overall noise intensity is abnormal, requiring a comprehensive troubleshooting of the generator.

5. The generator transmission fault detection system according to claim 4, characterized in that: When N≥n, detect the real-time lubricating oil temperature T. At this time, determine whether the real-time lubricating oil temperature T is abnormally high. If the real-time lubricating oil temperature T is abnormally high, first check the engine transmission fault. If the real-time lubricating oil temperature T is normal, first check the generator transmission fault.

6. The generator transmission fault detection system according to claim 3, characterized in that: When the standard lower limit value AdB appears min ≤ Real-time noise intensity average AdB t ≤Standard upper limit value AdB max , it is judged that the generator set is in normal state; When the standard lower limit value AdB appears min > Real-time noise intensity average AdB t When , the element size in the noise intensity set SetdB corresponding to the moment is analyzed, the peak number N of the elements in the noise intensity set SetdB is determined, and the peak number N is compared with the number of engine cylinders n: When N≠n, the engine combustion is abnormal, and the engine combustion condition should be checked directly; When N=n, it is determined that the generator set is in a normal state.

7. The generator transmission fault detection system according to any one of claims 1 to 3, characterized in that: It also includes a real-time data caching module for caching the collected real-time data. The data detection module includes a noise detection unit for detecting the overall noise intensity of the generator and a lubricating oil temperature detection unit for detecting the engine lubricating oil temperature.

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