CN114753976A

CN114753976A - Method, device, equipment and medium for monitoring high-strength bolt fault of wind turbine generator

Info

Publication number: CN114753976A
Application number: CN202210512655.1A
Authority: CN
Inventors: 李合林; 龚妙; 李小勇; 蒲金飞; 王智
Original assignee: Tangzhi Science & Technology Hunan Development Co ltd; Beijing Tangzhi Science & Technology Development Co ltd
Current assignee: Tangzhi Science & Technology Hunan Development Co ltd; Beijing Tangzhi Science & Technology Development Co ltd
Priority date: 2022-05-11
Filing date: 2022-05-11
Publication date: 2022-07-15

Abstract

The application discloses wind turbine generator system high strength bolt fault monitoring method, device, equipment and medium, relates to wind turbine generator system state monitoring technology field, and includes: determining a target high-strength bolt to be monitored in a target component of the wind turbine generator; detecting impact and stress impact generated by a target high-strength bolt and bolt loosening angle change through an impact and angle composite sensor to obtain a plurality of characteristic information, and performing characteristic extraction on the plurality of characteristic information to obtain initial characteristic data; preprocessing the initial characteristic data to obtain target characteristic data; and comprehensively deciding whether the target high-strength bolt has a fault and a corresponding fault mode and a fault position according to the target characteristic data. This application can carry out the feature extraction to the impact that the bolt received and the angle change through installing impact and the compound sensor of angle on the bolt, carries out the integrated analysis through the data to the feature extraction, can realize the accurate discernment and the accurate location of multiple bolt trouble.

Description

Method, device, equipment and medium for monitoring high-strength bolt fault of wind turbine generator

Technical Field

The application relates to the technical field of wind turbine generator state monitoring, in particular to a wind turbine generator high-strength bolt fault monitoring method, device, equipment and medium.

Background

The wind generating set has high cost, severe use environment and complex working condition, and the high-strength connecting bolt among all the parts is subjected to the comprehensive action of various loads such as vibration, torsion, shearing and the like for a long time in the running process. Currently, with the increase of the number of the wind turbine generators in use and the service life, the number of the generators with high-strength connecting bolts broken and loosened increases year by year. The bolt fracture is light then causes the part damage, if the bolt fracture drops the secondary damage who brings, can produce great cost of maintenance, then leads to serious consequences such as blade drops, unit collapse to the great.

At present, no method for effectively, economically and practically monitoring on line, accurately diagnosing and giving predictive maintenance suggestions on engineering exists in the wind power industry. On one hand, because the high-strength connecting bolt has various and complex failure modes, the failure of various modes can not be completely identified by one monitoring method; on the other hand, the number of bolts of the whole unit is large, so that the positioning of a fault bolt is realized, the installation and arrangement of monitoring equipment such as a sensor are difficult, the sensor needs to be calibrated regularly, and the cost is high. At present, the maintenance of bolts is mainly performed by regular maintenance and after-repair, regular inspection is generally performed by arranging manpower, and then visual inspection or inspection of identifying faults such as fracture, looseness and the like is performed on the bolts one by one.

Therefore, in order to ensure the safe and healthy operation of the wind turbine, reduce the operation and maintenance cost, avoid major safety accidents and major economic losses of equipment and adverse effects caused by the major safety accidents, how to pre-alarm the high-strength bolt faults of the components such as the blades, the tower and the like, and prevent accidents and advance spare parts so as to facilitate maintenance and replacement are problems which are urgently needed to be solved in the industry at present.

Disclosure of Invention

In view of this, an object of the present application is to provide a method, an apparatus, a device and a medium for monitoring high-strength bolt faults of a wind turbine generator, which can quickly and accurately identify and accurately locate various bolt faults. The specific scheme is as follows:

in a first aspect, the application discloses a wind turbine generator system high-strength bolt fault monitoring method, which includes:

determining a target high-strength bolt to be monitored in a target component of the wind turbine generator;

detecting impact and stress impact generated by the target high-strength bolt and bolt loosening angle change through an impact and angle composite sensor pre-installed on the target high-strength bolt to obtain a plurality of characteristic information, and performing characteristic extraction on the plurality of characteristic information to obtain initial characteristic data;

preprocessing the initial characteristic data to obtain target characteristic data;

and comprehensively deciding whether the target high-strength bolt has a fault and a corresponding fault mode and a fault position according to the target characteristic data.

Optionally, different impact and angle composite sensors are connected in series through a high-strength patch cord and used for monitoring relative loosening of the nut and the screw and/or screw breakage and/or loosening faults.

Optionally, the method for monitoring the fault of the high-strength bolt of the wind turbine generator further includes:

determining the target high-strength bolt to be monitored from all high-strength bolts by analyzing fault mechanisms of all high-strength bolts in the target part of the wind turbine generator;

uniquely encoding the impact and angle composite sensor to obtain an encoded sensor;

and installing the coded sensor on the target high-strength bolt.

Optionally, through installing in advance impact and angle composite sensor on the target high strength bolt are right the striking and the stress impact that target high strength bolt produced detect to obtain a plurality of characteristic information, and right a plurality of characteristic information carry out the feature extraction in order to obtain initial characteristic data, include:

detecting impact and stress impact generated by the target high-strength bolt through an impact and angle compound sensor pre-installed on the target high-strength bolt to obtain an impact signal;

and sequentially carrying out resonance demodulation, peak value holding and A/D sampling processing on the impact signal to obtain a plurality of impact characteristic information, and carrying out characteristic extraction on the plurality of impact characteristic information to obtain initial impact characteristic data.

Optionally, through installing in advance impact and angle composite sensor on the target high strength bolt are right the bolt that target high strength bolt produced becomes flexible angular variation and detects to obtain a plurality of characteristic information, and right a plurality of characteristic information carry out the feature extraction in order to obtain initial characteristic data, include:

through preinstallation the sensitive device among the impact and the angle composite sensor on the target high-strength bolt is right the bolt looseness angular variation that target high-strength bolt produced detects, obtains the angle signal, and right it obtains initial angle feature data to carry out the feature extraction to the angle signal.

Optionally, the preprocessing the initial feature data to obtain target feature data includes:

and acquiring the initial characteristic data through a preset diagnostic instrument, identifying abnormal data in the initial characteristic data through the diagnostic instrument, and removing the abnormal data from the initial characteristic data to obtain target characteristic data.

Optionally, the comprehensively deciding whether the target high-strength bolt has a fault and a corresponding fault mode and fault location according to the target characteristic data includes:

judging whether the target characteristic data meet preset threshold conditions corresponding to multiple preset fault modes respectively through the diagnostic instrument, if so, judging that the target high-strength bolt has a fault, and determining the corresponding fault mode and fault position; the multiple fault modes comprise any one or more of a nut and screw rod relative loosening fault mode, a screw rod stretching loosening fault mode, a screw rod crack and expansion fault mode and a bolt fracture and drop fault mode.

Optionally, the determining whether the target characteristic data meets preset threshold conditions corresponding to multiple preset fault modes, respectively, and if yes, determining that the target high-strength bolt has a fault includes:

acquiring the rotation angle of a slow line on the target high-strength bolt from the target characteristic data;

judging whether the angle exceeds a preset angle threshold value or not, and if so, judging whether the angle is suddenly changed or not;

and if the angle does not change suddenly, judging that the target high-strength bolt has a fault of a fault mode that the nut and the screw are relatively loosened, and generating an alarm signal that the nut and the screw are relatively loosened.

Optionally, the determining whether the target feature data meets preset threshold conditions corresponding to multiple preset failure modes respectively, and if yes, determining that the target high-strength bolt has a failure includes:

acquiring a frequency band corresponding to opening and closing impact generated by the target high-strength bolt from the target characteristic data to obtain a first frequency band;

performing resonance demodulation and peak value holding on the first frequency band to obtain a switching impact amplitude value, and judging whether the switching impact amplitude value exceeds a preset switching impact amplitude value threshold value or not;

if the opening and closing impact amplitude exceeds the opening and closing impact amplitude threshold, judging whether the opening and closing impact amplitude changes suddenly;

and if the opening and closing impact amplitude does not change suddenly, judging that the target high-strength bolt has the fault of the screw rod stretching and loosening fault mode, and generating an alarm signal of the screw rod stretching and loosening.

acquiring a frequency band corresponding to stress impact generated by the target high-strength bolt from the target characteristic data to obtain a second frequency band;

performing resonance demodulation and peak value holding on the second frequency band to obtain a stress impact amplitude value, and judging whether the stress impact amplitude value exceeds a preset stress impact amplitude value threshold value or not;

if the stress impact amplitude exceeds the stress impact amplitude threshold, judging whether the stress impact amplitude changes suddenly;

and if the stress impact amplitude value does not generate sudden change, judging that the target high-strength bolt has the fault of the mode that the screw rod cracks and expands, and generating an alarm signal that the screw rod cracks and expands.

acquiring a frequency band corresponding to impact generated by the target high-strength bolt from the target characteristic data to obtain a third frequency band;

performing resonance demodulation and peak value holding on the third frequency band to obtain an impact amplitude value, and judging whether the impact amplitude value exceeds a preset impact amplitude value threshold value or not;

if the impact amplitude exceeds the impact amplitude threshold, judging whether the angle has regular sudden change;

if the angle is subjected to regular sudden change, the target high-strength bolt is judged to have the fault of the bolt fracture and drop fault mode, and an alarm signal of the bolt fracture and drop is generated.

Optionally, after comprehensively deciding whether the target high-strength bolt has a fault and a corresponding fault mode and fault location according to the target characteristic data, the method further includes:

if the target high-strength bolt has a fault, determining a corresponding fault mode and a fault position, generating a corresponding alarm signal according to a weight corresponding to the fault mode, and screening the target characteristic data according to a preset decision data basic rule to obtain fault characteristic data;

and packaging and sending the fault characteristic data and the corresponding fault mode and fault position to target analysis software so as to display the fault characteristic data and the corresponding fault mode and fault position in real time through the target analysis software, and performing health assessment on the target high-strength bolt based on the acquired data so as to generate a corresponding actual operation and maintenance suggestion.

In a second aspect, the application discloses a wind turbine generator system high-strength bolt fault monitoring device which comprises an impact and angle compound sensor and a diagnostic instrument;

wherein, the impact and angle compound sensor specifically comprises: the detection module is used for detecting the impact and the stress impact generated by a target high-strength bolt to be monitored in a target component of the wind turbine generator and the change of a bolt loosening angle so as to obtain a plurality of characteristic information, and extracting the characteristics of the characteristic information so as to obtain initial characteristic data; the data preprocessing module is used for preprocessing the initial characteristic data to obtain target characteristic data; the impact and angle compound sensor is pre-installed on the target high-strength bolt;

the diagnostic apparatus specifically includes: and the comprehensive decision module is used for comprehensively deciding whether the target high-strength bolt has a fault or not and a corresponding fault mode and a fault position according to the target characteristic data.

In a third aspect, the present application discloses an electronic device comprising a processor and a memory; the fault monitoring method for the high-strength bolt of the wind turbine generator set is realized when the processor executes the computer program stored in the memory.

In a fourth aspect, the present application discloses a computer readable storage medium for storing a computer program; when being executed by a processor, the computer program realizes the wind turbine generator set high-strength bolt fault monitoring method.

It can be seen that this application confirms the target high strength bolt of treating monitoring in the wind turbine generator system target part earlier, then through installing in advance impact and angle combined sensor on the target high strength bolt are right the striking that the target high strength bolt produced is with stress impact and the bolt not hard up angle change and detect, obtain a plurality of characteristic information, and right a plurality of characteristic information carry out the feature extraction in order to obtain initial characteristic data, right again initial characteristic data carries out the preliminary treatment and obtains target characteristic data, at last according to the target characteristic data is synthesized and is decided whether there is trouble and corresponding failure mode and fault location in the target high strength bolt. This application can carry out the feature extraction to the impact that the bolt received and the angle change through the impact and the angle composite sensor of installing in the easy district that sends out of bolt trouble, through carrying out the integrated analysis to the data that the feature extracted, can realize the accurate discernment and the accurate location of multiple bolt trouble.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.

FIG. 1 is a flow chart of a wind turbine generator high-strength bolt fault monitoring method disclosed in the present application;

FIG. 2 is a schematic diagram of a specific wind turbine blade region to be monitored according to the present disclosure;

FIG. 3 is a flowchart of a specific wind turbine generator system high-strength bolt fault monitoring method disclosed in the present application;

FIG. 4 is a schematic diagram of a specific impact and angle combi sensor configuration disclosed herein;

FIG. 5 is a schematic diagram of a specific impact detection circuit according to the present disclosure;

FIG. 6 is a schematic diagram of an exemplary angle detection circuit according to the present disclosure;

FIG. 7 illustrates a specific high strength bolt failure monitoring system framework for a wind turbine generator system as disclosed herein;

FIG. 8 is a schematic structural diagram of a high-strength bolt fault monitoring device for a wind turbine generator set disclosed in the present application;

fig. 9 is a block diagram of an electronic device disclosed in the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.

The embodiment of the application discloses a method for monitoring faults of high-strength bolts of a wind turbine generator, which is shown in figure 1 and comprises the following steps:

step S11: and determining a target high-strength bolt to be monitored in a target component of the wind turbine generator.

In this embodiment, a target high-strength bolt to be monitored needs to be determined based on a failure mechanism analysis of the high-strength bolt in a target component of the wind turbine generator, that is, all high-strength bolts in the target component do not need to be monitored, and only a part of the high-strength bolts in the target component need to be monitored; wherein the target component includes, but is not limited to, a blade, a gearbox, a generator, and the like. For example, referring to fig. 2, when determining the high-strength bolts to be monitored in the wind turbine blade, considering that the fracture and loosening faults of the high-strength bolts in the blade are mainly concentrated on the fatigue-affected area of the blade, only the high-strength bolts in the fatigue-affected area of the blade may be monitored.

Step S12: through preinstallation impact and angle composite sensor on the target high-strength bolt are right striking and stress impact and the bolt looseness angular variation that target high-strength bolt produced detect to obtain a plurality of characteristic information, and right a plurality of characteristic information carry out the feature extraction in order to obtain initial characteristic data.

In this embodiment, after determining a target high-strength bolt to be monitored in a target component of a wind turbine generator, impact and stress impact generated by the target high-strength bolt under the action of force and bolt loosening angle change can be subjected to data acquisition by an impact and angle compound sensor pre-installed on the target high-strength bolt to obtain a corresponding impact signal and an angle signal, then the impact signal and the angle signal are subjected to corresponding processing to obtain a plurality of characteristic information, and then the plurality of characteristic information are subjected to characteristic extraction to obtain initial characteristic data. It should be noted that, in order to prevent the high-strength bolt from falling into the hub when being broken and causing secondary damage to other components, different impact and angle composite sensor sensors may be connected in series by using a patch cord of a teflon-like high-strength wire rod, so as to monitor relative loosening between the nut and the screw rod and/or screw rod breakage and/or loosening faults, for example, when the nut and the screw rod are not relatively loosened, the screw rod is stretched, so that loosening with a fastening object is caused, and the like. The impact and angle composite sensor may be a sensor formed by combining an impact sensor and an angle sensor, or may be a single sensor capable of detecting impact and angle simultaneously to obtain a plurality of physical quantities.

In this embodiment, the method for monitoring the fault of the high-strength bolt of the wind turbine generator specifically further includes: determining the target high-strength bolt to be monitored from all high-strength bolts by analyzing fault mechanisms of all high-strength bolts in the target part of the wind turbine generator; uniquely encoding the impact and angle composite sensor to obtain an encoded sensor; and installing the coded sensor on the target high-strength bolt. In this embodiment, the failure mechanism of all high-strength bolts in the target component of the wind turbine generator system can be analyzed, then the target high-strength bolt to be monitored is determined from all the high-strength bolts, then the impact and angle composite sensor is coded to enable each impact and angle composite sensor to have a unique code, so that a coded sensor is obtained, then the coded sensor is installed on the target high-strength bolt, and when a certain target high-strength bolt fails, the specific position of the failure can be determined through the unique code corresponding to the impact and angle composite sensor installed on the target high-strength bolt.

Step S13: and preprocessing the initial characteristic data to obtain target characteristic data.

In this embodiment, after the plurality of feature information are subjected to feature extraction to obtain initial feature data, corresponding preprocessing operation may be performed on the obtained initial feature data to obtain the target feature data. For example, the abnormal data in the initial feature data is removed, then the removed initial feature data is subjected to feature screening, and then the screened feature data is used as the target feature data.

Step S14: and comprehensively deciding whether the target high-strength bolt has a fault and a corresponding fault mode and a fault position according to the target characteristic data.

In this embodiment, after the initial characteristic data is preprocessed to obtain target characteristic data, whether a fault exists in the target high-strength bolt and a specific fault mode when the fault exists can be determined according to threshold conditions corresponding to the target characteristic data and multiple preset fault modes, and specific positions where faults such as bolt stretching, bolt cracking, bolt breakage, relative loosening of a nut and a screw, and the like occur can be determined according to unique codes corresponding to the target high-strength bolt.

In this embodiment, after comprehensively deciding whether the target high-strength bolt has a fault and a corresponding fault mode and a corresponding fault location according to the target feature data, the method specifically further includes: if the target high-strength bolt has a fault, determining a corresponding fault mode and a fault position, generating a corresponding alarm signal according to a weight corresponding to the fault mode, and screening the target characteristic data according to a preset decision data basic rule to obtain fault characteristic data; and packaging and sending the fault characteristic data and the corresponding fault mode and fault position to target analysis software so as to display the fault characteristic data and the corresponding fault mode and fault position in real time through the target analysis software, and performing health assessment on the target high-strength bolt based on the acquired data so as to generate a corresponding actual operation and maintenance suggestion. It will be appreciated that if there is a failure, such as a break and/or a loosening, of the target high strength bolt, then a particular location and particular failure mode of failure may be further determined, and can generate a corresponding pre-alarm signal according to the weight value configured for the failure mode in advance, this is due to the fact that different failure modes are interrelated, for example, due to external forces, such as alternating load effects and ambient temperature, the screw is stretched, under the condition that the nut and the screw are not loosened relatively, the loosening caused by the nut and the screw and a fastening object can lead the screw to have cracks under the action of repeated alternating load, the further expansion of the cracks can lead the bolt to be broken and fall off, therefore, different weight values can be set for different fault modes, so that the generated alarm signal can accurately display the specific state of the current fault, namely the severity of the fault can be reflected. Meanwhile, screening the target characteristic data according to a preset decision data basic rule to obtain fault characteristic data, namely screening out the characteristic data of a specific fault mode from the target characteristic data according to a preset decision data basic rule, and the fault characteristic data, the corresponding fault mode and the fault position are packaged and sent to target analysis software, and then presenting the fault characteristic data, the corresponding specific fault mode and the specific fault position through the target analysis software so as to provide specific fault information to a user, and the target analysis software may also perform a state of health assessment on the target high-strength bolt based on the acquired fault characteristic data and the corresponding fault mode and fault location, and then generating a suggestion that the user can implement operation and maintenance, such as generating an operation and maintenance suggestion for replacing the target high-strength bolt in the bolt fracture and falling failure mode. It can be understood that, after the user has carried out corresponding operation and maintenance operation to the target high-strength bolt, if the target high-strength bolt that the screw cracked has been renewed, the impact and angle combined sensor can also continue to monitor the target high-strength bolt, obtains new testing result, if new result shows that current target high-strength bolt is not faulted, then it is in healthy state to indicate current target high-strength bolt. In a specific embodiment, the target analysis software may be specifically cloud platform analysis software.

It can be seen that, the target high-strength bolt to be monitored in the target part of the wind turbine generator set is firstly determined, then the impact and angle composite sensor pre-installed on the target high-strength bolt is used for detecting the impact and stress impact generated by the target high-strength bolt and the bolt loosening angle change to obtain a plurality of characteristic information, the characteristic extraction is carried out on the plurality of characteristic information to obtain initial characteristic data, the initial characteristic data is preprocessed to obtain target characteristic data, and finally the target high-strength bolt is comprehensively decided according to the target characteristic data whether a fault exists or not and a corresponding fault mode and a fault position. Therefore, the impact and angle composite sensor installed in the bolt fault prone area can extract the characteristics of the impact and angle change of the bolt, and the data extracted by the characteristics are comprehensively analyzed, so that the accurate identification and accurate positioning of various bolt faults can be realized.

The embodiment of the application discloses a specific wind turbine generator system high-strength bolt fault monitoring method, which is shown in fig. 3 and comprises the following steps:

step S21: and determining a target high-strength bolt to be monitored in a target component of the wind turbine generator.

Step S22: through installing in advance impact and angle composite sensor on the bolt of target high strength are right the striking and the stress impact that the bolt of target high strength produced detect, obtain impact signal.

In this embodiment, after determining the target high-strength bolt to be monitored in the target component of the wind turbine generator, the impact and the impact of the stress received by the target high-strength bolt can be detected by the composite angle sensor which is pre-installed on the target high-strength bolt, that is, the faults of bolt stretching, bolt cracking and bolt fracture received by the target high-strength bolt are detected, so that a corresponding impact signal is obtained.

In a specific embodiment, referring to fig. 4, fig. 4 shows a circuit structure of a specific impact and angle composite sensor, which includes a power circuit, an impact sensitive device, an impact detection circuit, a single chip, a TMR (tunneling Magneto Resistance) magnetoresistive sensor, an interface circuit, and a connector or a cable. The structure of the impact detection circuit is shown in fig. 5, the impact detection circuit shown in fig. 5 converts a charge signal sensitive to an impact sensitive device into a voltage signal acquired by using a single chip microcomputer AD (i.e., conversion of an analog signal and a digital signal), and the circuit specifically includes the impact sensitive device, a charge amplifier, a resonance demodulation circuit, a peak hold circuit, a single chip microcomputer circuit, and the like.

Step S23: and sequentially carrying out resonance demodulation, peak value holding and A/D sampling processing on the impact signal to obtain a plurality of impact characteristic information, and carrying out characteristic extraction on the plurality of impact characteristic information to obtain initial impact characteristic data.

In this embodiment, the impact and stress impact generated by the target high-strength bolt is detected by the impact and angle composite sensor pre-installed on the target high-strength bolt, after the impact signal is obtained, the impact signal is subjected to resonance demodulation and peak holding, then a/D sampling processing is performed to obtain a plurality of corresponding impact characteristic information, and then the plurality of impact characteristic information are subjected to characteristic extraction to obtain initial impact characteristic data.

Step S24: the method comprises the steps of detecting bolt loosening angle change generated by a target high-strength bolt through a sensitive device in an impact and angle compound sensor pre-installed on the target high-strength bolt to obtain an angle signal, and performing feature extraction on the angle signal to obtain initial angle feature data.

In this embodiment, after the initial impact characteristic data is obtained by performing characteristic extraction on the plurality of impact characteristic information, a sensitive device, specifically a device sensitive to an angle change (such as a TMR magnetoresistive sensor), which is pre-installed in the composite sensor of impact and angle on the target high-strength bolt may be further used to detect a bolt loosening angle change received by the target high-strength bolt, so as to obtain an angle signal, and then the initial angle characteristic data is obtained by performing characteristic extraction on the angle signal. Specifically, referring to fig. 6, fig. 6 shows a specific angle detection circuit structure, the angle detection circuit in fig. 6 transmits the angle change information detected by the TMR magnetoresistive sensor to the single chip microcomputer through an SPI (Serial Peripheral interface), and outputs data through an interface circuit after being processed by the single chip microcomputer.

Step S25: and acquiring the initial impact characteristic data and the initial angle characteristic data through a preset diagnostic instrument, identifying abnormal data in the initial impact characteristic data and the initial angle characteristic data through the diagnostic instrument, and removing the abnormal data from the initial impact characteristic data and the initial angle characteristic data to obtain target characteristic data.

In this embodiment, after performing feature extraction on the angle signal to obtain initial angle feature data, the initial impact feature data and the initial angle feature data may be obtained by a preset diagnostic apparatus, and then the diagnostic apparatus may identify abnormal data in the initial impact feature data and the initial angle feature data, for example, a value exceeding 360 degrees in the initial angle feature data and data having an impact SV value exceeding 5000SV in the initial impact feature data are used as abnormal data, and the identified abnormal data are removed from the initial impact feature data and the initial angle feature data to obtain target feature data.

Step S26: judging whether the target characteristic data meet preset threshold conditions corresponding to multiple preset fault modes respectively through the diagnostic instrument, if so, judging that the target high-strength bolt has a fault, and determining the corresponding fault mode and fault position; the multiple fault modes comprise any one or more of a nut and screw rod relative loosening fault mode, a screw rod stretching loosening fault mode, a screw rod crack and expansion fault mode and a bolt fracture and drop fault mode.

In this embodiment, after the abnormal data is removed from the initial impact characteristic data and the initial angle characteristic data to obtain target characteristic data, the diagnostic apparatus may further determine whether the target characteristic data meets preset threshold conditions corresponding to multiple preset fault modes, respectively, and if the preset threshold conditions are met, determine that the target high-strength bolt has a fault such as fracture and/or looseness, and may determine a specific fault mode and a position where the fault is located; the multiple fault modes comprise any one or more of a nut and screw rod relative loosening fault mode, a screw rod stretching loosening fault mode, a screw rod crack and expansion fault mode and a bolt fracture and drop fault mode.

In a first specific embodiment, the determining whether the target feature data meets preset threshold conditions corresponding to multiple preset failure modes, and if yes, determining that the target high-strength bolt has a failure may specifically include: acquiring the rotation angle of a slow line on the target high-strength bolt from the target characteristic data; judging whether the angle exceeds a preset angle threshold value or not, and if so, judging whether the angle is suddenly changed or not; and if the angle does not change suddenly, judging that the target high-strength bolt has a fault of a fault mode that the nut and the screw are relatively loosened, and generating an alarm signal that the nut and the screw are relatively loosened. For example, when the nut and the screw are relatively loosened, an angle is generated based on forward rotation or reverse rotation of the retarder, so that the rotation angle of the retarder can be monitored, and when the monitored angle exceeds a preset angle threshold value, such as the angle exceeding 10 degrees, under the condition that the information of the angle is accurate and the angle is not suddenly changed, the target high-strength bolt can be judged to have a fault that the nut and the screw are relatively loosened, and a corresponding alarm signal that the nut and the screw are relatively loosened is generated.

In a second specific implementation manner, the determining whether the target feature data meets preset threshold conditions corresponding to multiple preset failure modes, and if yes, determining that the target high-strength bolt has a failure may specifically include: acquiring a frequency band corresponding to opening and closing impact generated by the target high-strength bolt from the target characteristic data to obtain a first frequency band; performing resonance demodulation and peak value holding on the first frequency band to obtain a switching impact amplitude value, and judging whether the switching impact amplitude value exceeds a preset switching impact amplitude value threshold value or not; if the opening and closing impact amplitude exceeds the opening and closing impact amplitude threshold, judging whether the opening and closing impact amplitude changes suddenly; and if the opening and closing impact amplitude does not change suddenly, judging that the target high-strength bolt has the fault of the screw rod stretching and loosening fault mode, and generating an alarm signal of the screw rod stretching and loosening. For example, when the nut and the screw are not relatively loosened but the screw is stretched, a flange surface connected with the bolt or a bolt gasket is opened on a stress surface, and impact opening and closing impact is generated under alternating load, the impact opening and closing impact is a frequency band, the frequency band is subjected to resonance demodulation and peak value holding to obtain an impact opening and closing impact amplitude, and when the amplitude exceeds a preset impact opening and closing impact amplitude threshold value, such as the amplitude exceeds 800SV, the target high-strength bolt can be judged to have the screw stretching and loosening fault, and a corresponding alarm signal of screw stretching and loosening is generated.

In a third specific embodiment, the determining whether the target feature data meets preset threshold conditions corresponding to multiple preset failure modes, respectively, and if yes, determining that the target high-strength bolt has a failure may specifically include: acquiring a frequency band corresponding to stress impact generated by the target high-strength bolt from the target characteristic data to obtain a second frequency band; performing resonance demodulation and peak value holding on the second frequency band to obtain a stress impact amplitude value, and judging whether the stress impact amplitude value exceeds a preset stress impact amplitude value threshold value or not; if the stress impact amplitude exceeds the stress impact amplitude threshold, judging whether the stress impact amplitude changes suddenly; and if the stress impact amplitude does not have sudden change, judging that the target high-strength bolt has the fault of the mode that the screw cracks and expands, and generating an alarm signal that the screw cracks and expands. It can be understood that when a screw cracks and expands, the natural frequency of the bolt can be reduced and stress impact can be generated, the stress impact is a frequency band, a corresponding stress impact amplitude value is obtained by performing resonance demodulation and peak value holding on the frequency band, when the stress impact amplitude value exceeds a preset stress impact amplitude value threshold value, for example, the stress impact amplitude value exceeds 500SV and does not change suddenly, it can be determined that a fault that the screw cracks and expands exists in the target high-strength bolt, and an alarm signal that the corresponding screw cracks and expands is generated.

In a fourth specific embodiment, the determining whether the target characteristic data meets preset threshold conditions corresponding to multiple preset failure modes, and if yes, determining that the target high-strength bolt has a failure includes: acquiring a frequency band corresponding to impact generated by the target high-strength bolt from the target characteristic data to obtain a third frequency band; performing resonance demodulation and peak value holding on the third frequency band to obtain an impact amplitude value, and judging whether the impact amplitude value exceeds a preset impact amplitude value threshold value or not; if the impact amplitude exceeds the impact amplitude threshold, judging whether the angle has regular sudden change; if the angle is subjected to regular sudden change, the target high-strength bolt is judged to have the fault of the bolt fracture and drop fault mode, and an alarm signal of the bolt fracture and drop is generated. It can be understood that, when the bolt breaks and drops, impact and angle composite sensor is hung near the bolt hole by the high strength patch cord, can produce high amplitude along with the rotation of wheel hub, the irregular striking impact of multifrequency and the angle can appear regular sudden change output, the striking impact is a frequency channel, through carrying out resonance demodulation and doing the peak value to this frequency channel and keep obtaining striking impact amplitude, when the aforesaid should strike impact amplitude and exceed predetermined striking impact amplitude threshold value, if when striking impact amplitude exceeded 800SV, judge that there is the trouble that the bolt fracture dropped in target high strength bolt, and generate the alarm signal that corresponding bolt fracture dropped.

Further, referring to fig. 7, fig. 7 shows a specific wind turbine high-strength bolt failure monitoring system framework, which includes: the system comprises an impact and angle compound sensor, a diagnostic instrument and cloud platform analysis software; wherein, the structure of the impact and angle compound sensor comprises: the device comprises a power supply processing module, an impact resonance demodulation peak value holding module, an angle signal detection module, a single chip microcomputer and a communication module; the diagnostic apparatus comprises a data preprocessing module, a comprehensive decision module, a pre-alarm module, a data screening module and a data storage module; the cloud platform analysis software comprises a bolt detection data presentation and state evaluation module and an operation and maintenance suggestion issuing and operation and maintenance implementation feedback module. The specific treatment process comprises the following steps: firstly, a specifically monitored bolt is determined based on fault mechanism analysis, an impact and angle compound sensor is installed on the determined bolt to be monitored, then each impact and angle compound sensor is uniquely coded, then four fault modes generated based on a high-strength connecting bolt of a wind turbine generator set are subjected to impact and stress impact detection and feature extraction, angle signal detection and feature extraction through the impact and angle compound sensor, then extracted features are screened, screened feature data are sent to a diagnostic apparatus, after the diagnostic apparatus acquires the feature data sent by the impact and angle compound sensor, the feature data are preprocessed through a data preprocessing module, abnormal value recognition and elimination are carried out, accurate feature data are provided for comprehensive decision making, and then the feature data with abnormal values eliminated are sent to a comprehensive decision making module, the comprehensive decision-making module is connected with the pre-alarming module and is specifically used for carrying out fusion decision-making based on the monitored position coding information of the high-strength connecting bolt and the four fault mode characteristic information of the high-strength connecting bolt, carrying out special fault positioning and giving out pre-alarming of specific fault types; the diagnostic apparatus can further screen the characteristic data, the position coding data, the comprehensive decision process and the conclusion data basic rule, then packages the characteristic data, uploads the characteristic data to the cloud platform in a wireless mode, then presents the characteristic data and the decision conclusion issued by the diagnostic apparatus in real time through the cloud platform analysis software, meanwhile, based on the characteristic data and the decision conclusion, carries out health degree evaluation on the four fault modes of the high-strength bolt and gives an operation and maintenance suggestion, issues specific operation and maintenance implementation operation according to the operation and maintenance suggestion and obtains an operation and maintenance feedback result, and can also carry out alarm frequency, weighting of the four fault modes and adjustment of the operation and maintenance suggestion according to application experience so as to meet the personalized requirements of users.

It should be noted that the judgment of whether a fault exists in the target high-strength bolt and the corresponding fault mode are specifically determined by performing comprehensive decision on target characteristic data obtained by performing characteristic extraction on an impact signal and an angle signal acquired by an impact and angle composite sensor by a diagnostic instrument. For example, the diagnostic instrument is used for carrying out feature extraction and analysis on an impact signal sensitive to the impact and angle composite sensor, so that whether the bolt has faults such as looseness of the bolt and a fastening object, screw crack looseness and the like can be identified; the diagnostic instrument is used for extracting and analyzing the characteristics of an angle signal sensitive to the impact and angle composite sensor, so that whether the bolt has a fault that the nut and the screw are relatively loosened can be identified; the impact signal and the angle signal which are sensitive to the impact and angle compound sensor are comprehensively processed and analyzed through the diagnostic instrument, and whether the bolt has the fault that the bolt is broken and falls or not can be identified. Through the composite monitoring of the impact signal and the angle signal, suggestions can be given for comprehensive decision making and predictive maintenance.

For a more specific processing procedure of the step S21, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.

It is thus clear that this application embodiment is through installing in advance impact and angle combined sensor on the target high strength bolt are right the striking that target high strength bolt produced is strikeed with the stress impact and is detected, obtains impact signal, then through installing in advance impact and angle combined sensor on the target high strength bolt in the sensitive device right the bolt that target high strength bolt produced becomes flexible angle change and detects and obtain angle signal, it is right again impact signal with angle signal carries out the feature extraction and obtains target characteristic data, will target characteristic data sends to the diagnostic apparatus, can detect nut and the relative not hard up fault mode of screw rod, the tensile not hard up fault mode of screw rod, the screw rod crackle appears and the fault mode that the extension fault mode and the bolt fracture fault mode that drops through the diagnostic apparatus. According to the embodiment of the application, the impact and angle composite sensor which is low in cost and easy to install and debug is directly additionally arranged on the bolt in the fault easily-occurring area such as bolt fracture and looseness, impact and stress impact generated by a target high-strength bolt and bolt looseness angle change can be detected, corresponding impact signals and angle signals are obtained, feature extraction and comprehensive decision making are carried out on the impact and stress composite sensor through a diagnostic instrument, accurate identification can be carried out on four faults of a nut and screw rod relative looseness fault mode, a screw rod stretching looseness fault mode, a screw rod cracking and expansion fault mode and a bolt fracture and drop fault mode, and specific fault positions can be determined.

Correspondingly, the embodiment of the application also discloses a high-strength bolt fault monitoring device for the wind turbine generator, and as shown in fig. 8, the device comprises an impact and angle compound sensor 11 and a diagnostic instrument 12;

wherein, the impact and angle composite sensor 11 specifically includes: the detection module is used for detecting the impact and the stress impact generated by a target high-strength bolt to be monitored in a target component of the wind turbine generator and the change of a bolt loosening angle so as to obtain a plurality of characteristic information, and extracting the characteristics of the characteristic information so as to obtain initial characteristic data; the data preprocessing module is used for preprocessing the initial characteristic data to obtain target characteristic data; the impact and angle compound sensor is pre-installed on the target high-strength bolt;

the diagnostic apparatus 12 specifically includes: and the comprehensive decision module is used for comprehensively deciding whether the target high-strength bolt has a fault or not and a corresponding fault mode and a fault position according to the target characteristic data.

For the specific work flow of each module, reference may be made to corresponding content disclosed in the foregoing embodiments, and details are not repeated here.

It can be seen that, in the embodiment of the application, a target high-strength bolt to be monitored in a target component of a wind turbine generator is determined, then the impact and angle composite sensor pre-installed on the target high-strength bolt is used for detecting the impact and stress impact generated by the target high-strength bolt and the bolt loosening angle change to obtain a plurality of characteristic information, the characteristic extraction is carried out on the plurality of characteristic information to obtain initial characteristic data, the initial characteristic data is preprocessed to obtain target characteristic data, and finally, whether the target high-strength bolt has a fault or not and a corresponding fault mode and a fault position are comprehensively decided according to the target characteristic data. Therefore, the impact and angle composite sensor installed in the bolt fault prone area can extract the characteristics of the impact and angle change of the bolt, and the data extracted by the characteristics are comprehensively analyzed, so that the accurate identification and accurate positioning of various bolt faults can be realized.

In some embodiments, the impact and angle compound sensors are connected in series through high-strength patch cords, and the impact and angle compound sensors are used for monitoring relative loosening of the nut and the screw and/or screw breakage and/or loosening faults.

In some specific embodiments, the detection module may specifically include:

the impact detection unit is used for detecting impact and stress impact generated by the target high-strength bolt through an impact and angle composite sensor which is pre-installed on the target high-strength bolt to obtain an impact signal;

and the first feature extraction unit is used for sequentially carrying out resonance demodulation, peak value holding and A/D sampling processing on the impact signal to obtain a plurality of impact feature information, and carrying out feature extraction on the plurality of impact feature information to obtain initial impact feature data.

In some specific embodiments, the detection module may specifically include:

the angle detection unit is used for detecting the bolt loosening angle change generated by the target high-strength bolt through a sensitive device in the impact and angle compound sensor which is pre-installed on the target high-strength bolt to obtain an angle signal;

and the second feature extraction unit is used for extracting the features of the angle signals to obtain initial angle feature data.

In some specific embodiments, the data preprocessing module may specifically include:

the abnormal data identification unit is used for acquiring the initial characteristic data through a preset diagnostic instrument and identifying abnormal data in the initial characteristic data through the diagnostic instrument;

and the abnormal data removing unit is used for removing the abnormal data from the initial characteristic data to obtain target characteristic data.

In some embodiments, the comprehensive decision module may specifically include:

the first judging unit is used for judging whether the target characteristic data meet preset threshold conditions corresponding to multiple preset fault modes respectively through the diagnostic instrument;

the fault judging module is used for judging that the target high-strength bolt has a fault and determining a corresponding fault mode and a fault position if the target characteristic data meets the preset threshold conditions corresponding to the multiple preset fault modes respectively; the multiple fault modes comprise any one or more of a nut and screw rod relative loosening fault mode, a screw rod stretching loosening fault mode, a screw rod crack and expansion fault mode and a bolt fracture and drop fault mode.

In some specific embodiments, the fault determining module may specifically include:

an angle information acquisition unit, configured to acquire an angle of rotation of a slow line on the target high-strength bolt from the target feature data;

the second judgment unit is used for judging whether the angle exceeds a preset angle threshold value or not;

a third judging unit, configured to judge whether the angle changes suddenly if the angle exceeds the angle threshold;

and the first fault mode judging unit is used for judging that the target high-strength bolt has a fault of the fault mode that the nut and the screw are relatively loosened if the angle is not suddenly changed, and generating an alarm signal that the nut and the screw are relatively loosened.

the first frequency band acquisition unit is used for acquiring a frequency band corresponding to the opening and closing impact generated by the target high-strength bolt from the target characteristic data to obtain a first frequency band;

the first data processing unit is used for carrying out resonance demodulation on the first frequency band and carrying out peak value holding to obtain an opening and closing impact amplitude;

the fourth judging unit is used for judging whether the opening and closing impact amplitude exceeds a preset opening and closing impact amplitude threshold value or not;

a fifth judging unit, configured to judge whether the opening/closing impact amplitude changes suddenly or not if the opening/closing impact amplitude exceeds the opening/closing impact amplitude threshold;

and the second fault mode judging unit is used for judging that the target high-strength bolt has a fault of the screw rod stretching and loosening fault mode if the opening and closing impact amplitude value does not generate sudden change, and generating a warning signal of screw rod stretching and loosening.

the second frequency band acquisition unit is used for acquiring a frequency band corresponding to stress impact generated by the target high-strength bolt from the target characteristic data to obtain a second frequency band;

the second data processing unit is used for carrying out resonance demodulation on the second frequency band and carrying out peak value holding to obtain a stress impact amplitude;

a sixth judging unit, configured to judge whether the stress impact amplitude exceeds a preset stress impact amplitude threshold;

a seventh judging unit, configured to judge whether the stress impact amplitude changes suddenly if the stress impact amplitude exceeds the stress impact amplitude threshold;

and the third fault mode judging unit is used for judging that the target high-strength bolt has the fault that the screw rod cracks and expands the fault mode if the stress impact amplitude value does not mutate, and generating an alarm signal that the screw rod cracks and expands.

the third frequency band acquisition unit is used for acquiring a frequency band corresponding to the impact generated by the target high-strength bolt from the target characteristic data to obtain a third frequency band;

the third data processing unit is used for carrying out resonance demodulation and peak value holding on the third frequency band to obtain an impact amplitude value;

an eighth judging unit, configured to judge whether the impact amplitude exceeds a preset impact amplitude threshold;

a ninth judging unit, configured to judge whether the angle has a sudden change of regularity if the impact amplitude exceeds the impact amplitude threshold;

and the fourth fault mode judging unit is used for judging that the target high-strength bolt has the fault of the bolt fracture and drop fault mode and generating a warning signal of the bolt fracture and drop if the angle is subjected to regular sudden change.

In some specific embodiments, after the comprehensive decision module, the method may further include:

the fault mode determining unit is used for determining a corresponding fault mode and a fault position if the target high-strength bolt has a fault;

the alarm signal generating unit is used for generating corresponding alarm signals according to the weight values corresponding to the fault modes;

the data screening unit is used for screening the target characteristic data according to a preset decision data basic rule to obtain fault characteristic data;

the data sending unit is used for packaging and sending the fault characteristic data, the corresponding fault mode and the fault position to target analysis software;

and the data display unit is used for displaying the fault characteristic data, the corresponding fault mode and the fault position in real time through the target analysis software, and performing health assessment on the target high-strength bolt based on the acquired data to generate a corresponding actual operation and maintenance suggestion.

Further, an electronic device is disclosed in the embodiments of the present application, and fig. 9 is a block diagram of an electronic device 20 according to an exemplary embodiment, which should not be construed as limiting the scope of the application.

Fig. 9 is a schematic structural diagram of an electronic device 20 according to an embodiment of the present disclosure. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input output interface 25, and a communication bus 26. The memory 22 is configured to store a computer program, and the computer program is loaded and executed by the processor 21 to implement relevant steps in the wind turbine generator high-strength bolt fault monitoring method disclosed in any of the foregoing embodiments. In addition, the electronic device 20 in the present embodiment may be specifically an electronic computer.

In this embodiment, the power supply 23 is configured to provide a working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and an external device, and a communication protocol followed by the communication interface is any communication protocol applicable to the technical solution of the present application, and is not specifically limited herein; the input/output interface 25 is configured to obtain external input data or output data to the outside, and a specific interface type thereof may be selected according to specific application requirements, which is not specifically limited herein.

In addition, the storage 22 is used as a carrier for resource storage, and may be a read-only memory, a random access memory, a magnetic disk or an optical disk, etc., and the resources stored thereon may include an operating system 221, a computer program 222, etc., and the storage manner may be a transient storage or a permanent storage.

The operating system 221 is used for managing and controlling each hardware device on the electronic device 20 and the computer program 222, and may be Windows Server, Netware, Unix, Linux, or the like. The computer program 222 may further include a computer program that can be used to perform other specific tasks in addition to the computer program that can be used to perform the wind turbine generator high-strength bolt failure monitoring method disclosed in any of the foregoing embodiments and executed by the electronic device 20.

Further, the present application also discloses a computer-readable storage medium for storing a computer program; when being executed by a processor, the computer program realizes the wind turbine generator set high-strength bolt fault monitoring method. For the specific steps of the method, reference may be made to the corresponding contents disclosed in the foregoing embodiments, which are not described herein again.

The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.

Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The method, the device, the equipment and the medium for monitoring the fault of the high-strength bolt of the wind turbine generator set are introduced in detail, specific examples are applied to explain the principle and the implementation mode of the method, and the description of the embodiments is only used for helping to understand the method and the core idea of the method; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A wind turbine generator system high-strength bolt fault monitoring method is characterized by comprising the following steps:

2. The wind turbine generator system high-strength bolt fault monitoring method according to claim 1, wherein different impact and angle compound sensors are connected in series through high-strength patch cords and used for monitoring relative loosening of a nut and a screw and/or screw breakage and/or loosening faults.

3. The wind turbine generator high-strength bolt fault monitoring method according to claim 2, further comprising:

determining the target high-strength bolt to be monitored from all the high-strength bolts by analyzing the failure mechanisms of all the high-strength bolts in the target part of the wind turbine generator;

and installing the coded sensor on the target high-strength bolt.

4. The wind turbine generator high-strength bolt fault monitoring method according to claim 1, wherein the detecting of the impact and stress impact generated by the target high-strength bolt by the impact and angle compound sensor pre-installed on the target high-strength bolt to obtain a plurality of characteristic information, and performing characteristic extraction on the plurality of characteristic information to obtain initial characteristic data comprises:

5. The wind turbine generator system high-strength bolt fault monitoring method according to claim 1, wherein the detecting of the bolt loosening angle change generated by the target high-strength bolt by the impact and angle compound sensor pre-installed on the target high-strength bolt to obtain a plurality of characteristic information, and the extracting of the characteristics of the plurality of characteristic information to obtain initial characteristic data comprises:

the method comprises the steps of detecting bolt loosening angle change generated by a target high-strength bolt through a sensitive device in an impact and angle compound sensor pre-installed on the target high-strength bolt to obtain an angle signal, and performing feature extraction on the angle signal to obtain initial angle feature data.

6. The wind turbine generator high-strength bolt fault monitoring method according to claim 1, wherein the preprocessing the initial characteristic data to obtain target characteristic data comprises:

7. The wind turbine generator system high-strength bolt fault monitoring method according to claim 6, wherein the comprehensively deciding whether the target high-strength bolt has a fault and a corresponding fault mode and fault position according to the target feature data comprises:

8. The method for monitoring the fault of the high-strength bolt of the wind turbine generator set according to claim 7, wherein the step of judging whether the target characteristic data meets preset threshold conditions respectively corresponding to multiple preset fault modes and if so, judging that the target high-strength bolt has a fault comprises the following steps:

if the angle does not change suddenly, the target high-strength bolt is judged to have the fault of the relative loosening fault mode of the nut and the screw, and an alarm signal of the relative loosening of the nut and the screw is generated.

9. The method for monitoring the fault of the high-strength bolt of the wind turbine generator set according to claim 7, wherein the step of judging whether the target characteristic data meets preset threshold conditions respectively corresponding to multiple preset fault modes and if so, judging that the target high-strength bolt has a fault comprises the following steps:

performing resonance demodulation and peak value holding on the first frequency band to obtain an opening and closing impact amplitude value, and judging whether the opening and closing impact amplitude value exceeds a preset opening and closing impact amplitude value threshold value or not;

if the switching impact amplitude exceeds the switching impact amplitude threshold, judging whether the switching impact amplitude is suddenly changed;

10. The method for monitoring the fault of the high-strength bolt of the wind turbine generator set according to claim 7, wherein the step of judging whether the target characteristic data meets preset threshold conditions corresponding to multiple preset fault modes respectively, and if yes, judging that the target high-strength bolt has a fault comprises the steps of:

11. The method for monitoring the fault of the high-strength bolt of the wind turbine generator set according to claim 8, wherein the step of judging whether the target characteristic data meets preset threshold conditions respectively corresponding to multiple preset fault modes, and if so, judging that the target high-strength bolt has a fault comprises the following steps:

12. The wind turbine generator system high-strength bolt fault monitoring method according to any one of claims 1 to 11, wherein after comprehensively deciding whether a fault exists in the target high-strength bolt and a corresponding fault mode and fault location according to the target characteristic data, the method further comprises:

and packaging and sending the fault characteristic data and the corresponding fault mode and the fault position to target analysis software so as to display the fault characteristic data and the corresponding fault mode and the fault position in real time through the target analysis software, and performing health assessment on the target high-strength bolt based on the acquired data so as to generate a corresponding actual operation and maintenance suggestion.

13. A wind turbine generator system high strength bolt fault monitoring device is characterized by comprising an impact and angle compound sensor and a diagnostic instrument;

wherein, the impact and angle compound sensor specifically comprises: the detection module is used for detecting impact and stress impact generated by a target high-strength bolt to be monitored in a target component of the wind turbine generator and bolt loosening angle change so as to obtain a plurality of characteristic information, and extracting characteristics of the plurality of characteristic information so as to obtain initial characteristic data; the data preprocessing module is used for preprocessing the initial characteristic data to obtain target characteristic data; the impact and angle compound sensor is pre-installed on the target high-strength bolt;

14. An electronic device comprising a processor and a memory; the processor executes the computer program stored in the memory to implement the wind turbine generator high-strength bolt fault monitoring method according to any one of claims 1 to 12.

15. A computer-readable storage medium for storing a computer program; wherein the computer program, when executed by a processor, implements the wind turbine generator high strength bolt fault monitoring method of any of claims 1 to 12.