CN116953414A - Intelligent monitoring method and system for slip ring - Google Patents
Intelligent monitoring method and system for slip ring Download PDFInfo
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Abstract
The application provides an intelligent monitoring method and system of a slip ring, which relate to the technical field of data processing, and the method comprises the following steps: when a contact pulse acquisition module generates pulse current when a target slip ring contacts a brush, pulse current signals in a preset monitoring period are acquired to identify the pulse current signals, pulse time ductility corresponding to N continuous unit pulse periods is acquired and input into a slip ring abnormality monitoring module, a probability density function for marking slip ring abnormality is defined according to historical operation parameters of the target slip ring, and when parameters for controlling slip ring rotation operation are unchanged, a first abnormality probability and a first early warning signal are generated according to the pulse time ductility and the probability density function.
Description
Technical Field
The application relates to the technical field of data processing, in particular to an intelligent monitoring method and system for a slip ring.
Background
With the development of modern mechanical engineering, more and more mechanical devices need to transmit electric power media in rotary motion, and a slip ring is an important component for realizing the function, and the slip ring is used as a core component of a rotary transmission system and is responsible for conducting transmission of power and electric signals, but in the prior art, state monitoring of the slip ring is lacking when the slip ring works, so that the technical problem of poor stability of the slip ring is caused.
Disclosure of Invention
The application provides an intelligent monitoring method and system for a slip ring, which are used for solving the technical problem of poor stability of the slip ring caused by lack of monitoring of the state of the slip ring during the working of the slip ring in the prior art.
In view of the above problems, the application provides an intelligent monitoring method and system for a slip ring.
In a first aspect, the present application provides an intelligent monitoring method for a slip ring, the method comprising: a contact pulse acquisition module is arranged, wherein the contact pulse acquisition module is in communication connection with a slip ring abnormality monitoring module; according to the contact pulse acquisition module, when a target slip ring contacts an electric brush to generate pulse current, the target slip ring contacts the primary electric brush as a unit pulse period, and pulse current signals in a preset monitoring period are acquired; carrying out signal identification on the pulse current signal according to the unit pulse periods to obtain pulse time ductility corresponding to the continuous N unit pulse periods, wherein the pulse time ductility is used for marking the delay degree of the time length required by the target slip ring to contact the brush in the continuous N different unit pulse periods; the contact pulse acquisition module inputs the pulse delay property into the slip ring abnormality monitoring module, wherein the slip ring abnormality monitoring module comprises a parameter for monitoring and controlling slip ring rotation operation; defining a probability density function for identifying the abnormality of the slip ring according to the historical operation parameters of the target slip ring; when the parameters for controlling the slip ring rotation operation do not change, generating a first abnormal probability according to the pulse time ductility and the probability density function, and generating a first early warning signal according to the first abnormal probability.
In a second aspect, the present application provides an intelligent monitoring system for a slip ring, the system comprising: the module setting module is used for setting a contact pulse acquisition module, wherein the contact pulse acquisition module is in communication connection with the slip ring abnormality monitoring module; the signal acquisition module is used for acquiring pulse current signals in a preset monitoring period by taking the primary brush contacted by the target slip ring as a unit pulse period when pulse current is generated when the target slip ring contacts the brush according to the contact pulse acquisition module; the signal identification module is used for carrying out signal identification on the pulse current signal according to the unit pulse periods to obtain pulse time ductility corresponding to the continuous N unit pulse periods, wherein the pulse time ductility is used for identifying the delay degree of the time length required by the target slip ring to contact the brush in the continuous N different unit pulse periods; the first input module is used for inputting the pulse delay property into the slip ring abnormality monitoring module by the contact pulse acquisition module, wherein the slip ring abnormality monitoring module comprises parameters for monitoring and controlling slip ring rotation operation; the function definition module is used for defining a probability density function for identifying the abnormality of the slip ring according to the historical operation parameters of the target slip ring; and the probability determining module is used for generating a first abnormal probability according to the pulse timeliness and the probability density function when the parameters for controlling the slip ring rotation operation are not changed, and generating a first early warning signal according to the first abnormal probability.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
the application provides an intelligent monitoring method and system for a slip ring, relates to the technical field of data processing, solves the technical problem of poor stability of the slip ring caused by lack of state monitoring of the slip ring during working of the slip ring in the prior art, realizes early warning monitoring of the working state of the slip ring, and improves the stability of the slip ring.
Drawings
FIG. 1 is a schematic flow chart of an intelligent monitoring method of a slip ring;
FIG. 2 is a schematic diagram of probability density function flow for identifying abnormal slip ring in the intelligent slip ring monitoring method;
fig. 3 is a schematic structural diagram of an intelligent monitoring system of a slip ring according to the present application.
Reference numerals illustrate: the device comprises a module setting module 1, a signal acquisition module 2, a signal identification module 3, a first input module 4, a function definition module 5 and a probability determination module 6.
Detailed Description
The application provides an intelligent monitoring method and system for a slip ring, which are used for solving the technical problem of poor stability of the slip ring caused by lack of state monitoring of the slip ring during working of the slip ring in the prior art.
Example 1
As shown in fig. 1, an embodiment of the present application provides an intelligent monitoring method for a slip ring, where the method includes:
step A100: a contact pulse acquisition module is arranged, wherein the contact pulse acquisition module is in communication connection with a slip ring abnormality monitoring module;
in the application, the intelligent monitoring method of the slip ring provided by the embodiment of the application is applied to an intelligent monitoring system of the slip ring, and a contact pulse acquisition module is arranged in the intelligent monitoring system of the slip ring.
The contact pulse acquisition module is used for recording and acquiring current pulses when the slip ring is in contact with the electric brush in the running state, the acquired current pulses refer to short-time fluctuation electric shocks like pulses, namely voltages or currents, the main characteristics comprise waveforms, amplitudes, widths and repetition frequencies, meanwhile, the contact pulse acquisition module is in communication connection with the slip ring abnormality monitoring module, and the slip ring abnormality monitoring module is used for monitoring abnormal periodic rotation speed of the slip ring in the working state and is used as an important reference basis for realizing intelligent detection of the slip ring in the later period.
Step A200: according to the contact pulse acquisition module, when a target slip ring contacts an electric brush to generate pulse current, the target slip ring contacts the primary electric brush as a unit pulse period, and pulse current signals in a preset monitoring period are acquired;
when a target slip ring is contacted with an electric brush to generate pulse current, slip ring contact pulse data recorded in a contact pulse acquisition module is used as basic judgment data, a time period from a start point when the target slip ring is contacted with the electric brush to an end point when the target slip ring is contacted with the electric brush next time in an operation state is used as a unit pulse period when the target slip ring is contacted with the electric brush, meanwhile, pulse current signals in the slip ring operation state are acquired in the contact pulse acquisition module based on the unit pulse period, the acquired pulse current signals are current signals which are suddenly generated and rapidly change in a slip ring circuit, and the pulse current signals in a preset monitoring period are determined on the basis, so that intelligent detection of the slip ring is guaranteed.
Step A300: carrying out signal identification on the pulse current signal according to the unit pulse periods to obtain pulse time ductility corresponding to the continuous N unit pulse periods, wherein the pulse time ductility is used for marking the delay degree of the time length required by the target slip ring to contact the brush in the continuous N different unit pulse periods;
in the application, the signal identification is carried out on the pulse current signal generated when the target slip ring contacts the brush through the unit pulse period in the preset monitoring period, namely, the time length record is carried out on the signal interval time delay between the pulse current signal generated in the unit pulse period and the pulse current signal generated in the next unit pulse period, so that N times of iterative acquisition are carried out, and the pulse time delay corresponding to N unit pulse periods is obtained.
Step A400: the contact pulse acquisition module inputs the pulse delay property into the slip ring abnormality monitoring module, wherein the slip ring abnormality monitoring module comprises a parameter for monitoring and controlling slip ring rotation operation;
in the application, in order to determine the abnormal condition of the slip ring caused by the current pulse time ductility in the running state, the pulse time ductility corresponding to continuous N unit pulse periods is firstly used as input data through the contact pulse acquisition module and is input into the slip ring abnormal monitoring module which is in quick communication connection with the contact pulse acquisition module to perform abnormal monitoring and evaluation of the target slip ring, the slip ring abnormal monitoring module comprises parameters for monitoring and controlling the slip ring rotating operation, the parameters for monitoring and controlling the slip ring rotating operation refer to the parameters for monitoring and controlling the slip ring rotating operation in the state of the target slip ring, the parameters for controlling the slip ring rotating operation can be parameters capable of controlling the rotation operation of the target slip ring, such as the number of passages, the rated voltage parameter, the rated current parameter, the working speed parameter, the dynamic resistance parameter, the moment parameter and the like, and the delay tracing is performed on the parameters for controlling the rotation operation of the target slip ring according to the input pulse time ductility, and the parameters for affecting the slip ring are determined, so that the intelligent detection has a propelling effect.
Step A500: defining a probability density function for identifying the abnormality of the slip ring according to the historical operation parameters of the target slip ring;
further, as shown in fig. 2, step a500 of the present application further includes:
step A510: acquiring historical operation parameters of the target slip ring, wherein the historical operation parameters comprise rotor rotating speed for controlling the operation of the target slip ring and pulse current signal samples correspondingly acquired by the contact pulse acquisition module, each pulse current signal sample records the rotating speed when the rotor contacts the brush, and the consumed time and the interval time;
step A520: when the rotor rotating speed of the target slip ring operation is at the same rotating speed, carrying out pulse time delay calculation by using a corresponding pulse current signal sample, and outputting expected pulse time ductility and variance;
step a530: and defining an effective distribution interval and an abnormal distribution interval of the probability density function according to the expectations and variances.
According to the application, slip ring rotating operation control parameters of a target slip ring in a historical period are extracted through monitoring control of slip ring abnormal monitoring modules, the historical operation parameters comprise a rotor rotating speed for controlling the target slip ring operation and a pulse current signal sample correspondingly collected by a contact pulse collecting module, and the pulse current signal sample is a pulse current signal without time delay, wherein each pulse current signal sample records the rotating speed of a rotor when contacting a brush, time consuming duration and interval duration are spent, so that the historical operation parameters of the target slip ring are determined, when the rotor rotating speed of the target slip ring operation is at the same rotating speed, pulse delay calculation is carried out according to the corresponding pulse current signal sample, expected and variance of the ductility at the time of the pulse are obtained, the expected ductility at the time of the pulse is the average value obtained by adding and adding the pulse corresponding to the rotating speed of the rotor rotating speed of the target slip ring operation, the most basic digital characteristic for measuring the average level of the ductility at the time of the pulse current signal sample is used for measuring random variables, namely the pulse current signal sample and the pulse time delay, and the expected ductility distribution is defined as a probability function of the expected ductility and the density of the final interval is the expected ductility distribution, and the expected ductility is the probability is expressed as a probability function of the density of the probability of the average value and the expected ductility distribution, and the expected ductility distribution is defined:
wherein ,pulse signal for ith shift +.>Corresponding probability density function, pulse delay +.>And delay variance->Are all constant, random variable->，/>Is a random error based on the pulse signal.
Describing probability distribution conditions of pulse time ductility of pulse current signal samples in the effective distribution interval and the value range of the ineffective distribution interval by the probability density function obtained in the above way, wherein the effective distribution interval of the probability density function can be determined to [ a, b ] by the expression]Within the interval, while the interval of invalid distribution of probability density functions passesRespectively to->And (3) the slip ring is used as reference data for intelligent detection of the slip ring at a later stage.
Step A600: when the parameters for controlling the slip ring rotation operation do not change, generating a first abnormal probability according to the pulse time ductility and the probability density function, and generating a first early warning signal according to the first abnormal probability.
Further, the step a600 of the present application further includes:
step a610: recording a first fluctuation time sequence when the parameters for controlling the slip ring rotation operation are changed;
step a620: performing time sequence positioning on the pulse current signal according to the first fluctuation time sequence, and dividing the pulse current signal into a pre-pulse current signal before fluctuation and a post-pulse current signal after fluctuation;
step a630: the corresponding first pulse time ductility and second pulse time ductility are obtained by respectively carrying out signal identification on the front pulse current signal and the rear pulse current signal;
step A640: and generating a first abnormal probability according to the first pulse time ductility and the second pulse time ductility.
In the present application, in order to enable the accuracy of early warning of the target slip ring in the operation state, it is necessary to monitor the fluctuation of the parameters controlling the slip ring rotation operation, when the parameters controlling the slip ring rotation operation are not changed, the target slip ring is regarded as rotating at the same speed, and the first anomaly probability is generated by calculating according to the pulse time ductility and the probability density function by the following formula, and the expression for calculating the first anomaly probability is as follows:
wherein ,for the abnormality probability based on the pulse signal X (t) at the same rotation speed, +.>To calculate the pre-pulse signal before the shift based on the probability density function>The corresponding pulse temporal ductility falls within the interval [ a, b]Effective probability of->To calculate post-pulse signals after shifting using the probability density functionThe corresponding pulse temporal ductility falls within the interval [ a, b]Effective probability of [ a, b ]]Is the desired time ductile interval.
When the pulse time delay of the target slip ring falls into the abnormal interval obtained by the calculation, the pulse time delay of the target slip ring is regarded as an abnormal state, a first abnormal probability is correspondingly obtained, a first early warning signal is generated according to the distribution of the first abnormal probability, the first abnormal probability and the first early warning signal are in a direct proportion relation, if the distribution of the first abnormal probability is large, the early warning level of the first early warning signal is high, and the pulse time delay abnormality degree of the target slip ring is large.
Further, when the parameters controlling the slip ring rotation operation change, the target slip ring performs a speed increasing or reducing operation on the original rotating speed, so as to record the speed time sequence after the speed change, thereby obtaining a first change time sequence, and based on the first change time sequence, the pulse current signal is time sequence positioned according to the time sequence in the first change time sequence, the pulse current signal is divided into the pulse current signal before the speed change of the target slip ring, the pulse current signal is recorded as a front pulse current signal, the pulse current signal after the speed change is recorded as a rear pulse current signal, further, the front pulse current signal and the rear pulse current signal are respectively subjected to signal recognition, the corresponding first pulse time ductility and the corresponding second pulse time ductility are obtained, the time delay record is performed on the signal interval between the pulse current signal generated in the unit pulse period before the speed change and the pulse current signal generated in the next unit pulse period, the first pulse time is obtained, the pulse time ductility is further recorded on the pulse current signal generated in the unit pulse period after the speed change and the pulse current signal generated in the next pulse period, and the first pulse time ductility is obtained, and the probability of abnormality density is improved, and the probability of the first abnormality density and the abnormality is obtained is improved, and the probability is obtained.
Further, step a640 of the present application includes:
step a641: comparing the first pulse time ductility and the second pulse time ductility, and outputting the first pulse time ductility or the second pulse time ductility if one of the first pulse time ductility and the second pulse time ductility is smaller than a preset pulse time ductility and the other is larger than or equal to the preset pulse time ductility;
step A642: generating the first anomaly probability with the first pulse temporal ductility or the second pulse temporal ductility.
Further, step a642 of the present application includes:
step a6421: if the first pulse time ductility and the second pulse time ductility are both greater than or equal to the preset pulse time ductility, respectively carrying out anomaly probability calculation on the first pulse time ductility and the second pulse time ductility according to the probability density function degree to obtain a front anomaly probability and a rear anomaly probability;
step a6422: and generating the first anomaly probability according to the front anomaly probability and the rear anomaly probability.
In the application, in order to judge whether the target slip ring has time delay before and after the speed change, first the first pulse time ductility and the second pulse time ductility are compared, the preset pulse time ductility is determined according to the effective distribution interval of the speed of the target slip ring, if one of the first pulse time ductility and the second pulse time ductility is smaller than the preset pulse time ductility and the other is larger than or equal to the preset pulse time ductility, the pulse time ductility which is larger than or equal to the preset pulse time ductility is regarded as the pulse time ductility in an abnormal state, and the pulse time ductility which is smaller than the preset pulse time ductility is regarded as the pulse time ductility in a normal state, so that the first pulse time ductility or the second pulse time ductility in an abnormal state is output, and further, the first abnormal probability is generated through the first pulse time ductility or the second pulse time ductility in an abnormal state and a probability density function.
Further, if the first pulse time delay and the second pulse time delay are both equal to or greater than the preset pulse time delay, the first pulse time delay and the second pulse time delay are considered to be pulse time delay with abnormal states
The method comprises the steps of carrying out anomaly probability calculation on a first pulse time ductility through a probability density function, judging the size of an effective distribution interval in which the first pulse time ductility falls into the probability density function, obtaining anomaly probability of the first pulse time ductility according to a falling numerical value, namely a front anomaly probability, carrying out anomaly probability calculation on a second pulse time ductility through the probability density distribution function, judging the size of an effective distribution interval in which the second pulse time ductility falls into the probability density function, obtaining anomaly probability of the second pulse time ductility according to a falling numerical value, namely a rear anomaly probability, finally carrying out probability fitting on the front anomaly probability and the rear anomaly probability, namely applying a statistical algorithm to the front anomaly probability and the rear anomaly probability, so as to estimate a group of parameter values, enabling the statistical algorithm to describe the anomaly probability as accurately as possible, and recording a probability fitting result as the first anomaly probability, thereby guaranteeing better intelligent detection on the slip ring in the rear stage.
In summary, the intelligent monitoring method for the slip ring provided by the embodiment of the application at least has the following technical effects that the working state of the slip ring is monitored in an early warning manner, and the stability of the slip ring is improved.
Example two
Based on the same inventive concept as the intelligent monitoring method of a slip ring in the foregoing embodiment, as shown in fig. 3, the present application provides an intelligent monitoring system of a slip ring, the system includes:
the module setting module 1 is used for setting a contact pulse acquisition module, wherein the contact pulse acquisition module is in communication connection with the slip ring abnormality monitoring module;
the signal acquisition module 2 is used for acquiring pulse current signals in a preset monitoring period by taking the primary brush contacted by the target slip ring as a unit pulse period when the target slip ring contacts the brush according to the contact pulse acquisition module and generates pulse current;
the signal identification module 3 is configured to identify the pulse current signal according to the unit pulse periods, and obtain pulse time ductility corresponding to N continuous unit pulse periods, where the pulse time ductility is used to identify a delay degree of a time length required for the target slip ring to contact the brush in N continuous different unit pulse periods;
the first input module 4 is used for inputting the pulse delay property into the slip ring abnormality monitoring module by the contact pulse acquisition module, wherein the slip ring abnormality monitoring module comprises a parameter for monitoring and controlling slip ring rotation operation;
the function definition module 5 is used for defining a probability density function for identifying the abnormality of the slip ring according to the historical operation parameters of the target slip ring by the function definition module 5;
and the probability determining module 6 is used for generating a first abnormal probability according to the pulse time ductility and the probability density function when the parameters for controlling the slip ring rotation operation do not change, and generating a first early warning signal according to the first abnormal probability.
Further, the system further comprises:
the first control module is used for recording a first fluctuation time sequence when the parameters for controlling the slip ring to rotate are changed;
the time sequence positioning module is used for performing time sequence positioning on the pulse current signal at the first fluctuation time sequence and dividing the pulse current signal into a pre-pulse current signal before fluctuation and a post-pulse current signal after fluctuation;
the signal identification module is used for respectively carrying out signal identification on the front pulse current signal and the rear pulse current signal to obtain corresponding first pulse time delay and second pulse time delay;
the first probability generation module is used for generating a first abnormal probability according to the first pulse time ductility and the second pulse time ductility.
Further, the system further comprises:
the comparison module is used for comparing the first pulse time ductility with the second pulse time ductility, and outputting the first pulse time ductility or the second pulse time ductility if one of the first pulse time ductility and the second pulse time ductility is smaller than a preset pulse time ductility and the other is larger than or equal to the preset pulse time ductility;
and the second probability generation module is used for generating the first abnormal probability by the first pulse time ductility or the second pulse time ductility.
Further, the system further comprises:
the first judging module is used for respectively carrying out anomaly probability calculation on the first pulse time ductility and the second pulse time ductility according to the probability density function degree if the first pulse time ductility and the second pulse time ductility are both larger than or equal to the preset pulse time ductility, so as to obtain a front anomaly probability and a rear anomaly probability;
and the third probability generation module is used for generating the first abnormal probability according to the front abnormal probability and the rear abnormal probability.
Further, the system further comprises:
the second control module is used for acquiring historical operation parameters of the target slip ring, wherein the historical operation parameters comprise rotor rotating speed for controlling the target slip ring to operate and pulse current signal samples correspondingly acquired by the contact pulse acquisition module, each pulse current signal sample records the rotating speed of the rotor when the rotor contacts the brush, and consumed time and interval time;
the pulse time delay calculation module is used for carrying out pulse time delay calculation according to the corresponding pulse current signal sample when the rotor rotating speed of the target slip ring operation is at the same rotating speed, and outputting the expected and variance of the pulse time delay;
and the interval definition module is used for defining an effective distribution interval and an abnormal distribution interval of the probability density function according to the expectations and the variances.
The foregoing detailed description of a method for intelligent monitoring of a slip ring will be apparent to those skilled in the art, and the device disclosed in this embodiment is relatively simple to describe, and the relevant places refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. An intelligent monitoring method of a slip ring is characterized by comprising the following steps:
a contact pulse acquisition module is arranged, wherein the contact pulse acquisition module is in communication connection with a slip ring abnormality monitoring module;
according to the contact pulse acquisition module, when a target slip ring contacts an electric brush to generate pulse current, the target slip ring contacts the primary electric brush as a unit pulse period, and pulse current signals in a preset monitoring period are acquired;
carrying out signal identification on the pulse current signal according to the unit pulse periods to obtain pulse time ductility corresponding to the continuous N unit pulse periods, wherein the pulse time ductility is used for marking the delay degree of the time length required by the target slip ring to contact the brush in the continuous N different unit pulse periods;
the contact pulse acquisition module inputs the pulse delay property into the slip ring abnormality monitoring module, wherein the slip ring abnormality monitoring module comprises a parameter for monitoring and controlling slip ring rotation operation;
defining a probability density function for identifying the abnormality of the slip ring according to the historical operation parameters of the target slip ring;
when the parameters for controlling the slip ring rotation operation do not change, generating a first abnormal probability according to the pulse time ductility and the probability density function, and generating a first early warning signal according to the first abnormal probability.
2. The method of claim 1, wherein the method further comprises:
recording a first fluctuation time sequence when the parameters for controlling the slip ring rotation operation are changed;
performing time sequence positioning on the pulse current signal according to the first fluctuation time sequence, and dividing the pulse current signal into a pre-pulse current signal before fluctuation and a post-pulse current signal after fluctuation;
the corresponding first pulse time ductility and second pulse time ductility are obtained by respectively carrying out signal identification on the front pulse current signal and the rear pulse current signal;
and generating a first abnormal probability according to the first pulse time ductility and the second pulse time ductility.
3. The method of claim 2, wherein generating a first anomaly probability based on the first pulse temporal ductility and the second pulse temporal ductility comprises:
comparing the first pulse time ductility and the second pulse time ductility, and outputting the first pulse time ductility or the second pulse time ductility if one of the first pulse time ductility and the second pulse time ductility is smaller than a preset pulse time ductility and the other is larger than or equal to the preset pulse time ductility;
generating the first anomaly probability with the first pulse temporal ductility or the second pulse temporal ductility.
4. The method of claim 3, wherein if the first pulse temporal ductility and the second pulse temporal ductility are both greater than or equal to the preset pulse temporal ductility, respectively performing anomaly probability calculation on the first pulse temporal ductility and the second pulse temporal ductility according to the probability density function degree to obtain a pre-anomaly probability and a post-anomaly probability;
and generating the first anomaly probability according to the front anomaly probability and the rear anomaly probability.
5. The method of claim 1, wherein defining a probability density function for identifying slip ring anomalies based on historical operating parameters of the target slip ring, the method comprising:
acquiring historical operation parameters of the target slip ring, wherein the historical operation parameters comprise rotor rotating speed for controlling the operation of the target slip ring and pulse current signal samples correspondingly acquired by the contact pulse acquisition module, each pulse current signal sample records the rotating speed when the rotor contacts the brush, and the consumed time and the interval time;
when the rotor rotating speed of the target slip ring operation is at the same rotating speed, carrying out pulse time delay calculation by using a corresponding pulse current signal sample, and outputting expected pulse time ductility and variance;
and defining an effective distribution interval and an abnormal distribution interval of the probability density function according to the expectations and variances.
6. The method of claim 5, wherein the expression for calculating the first anomaly probability is as follows:
；
wherein ,for the abnormality probability based on the pulse signal X (t) at the same rotation speed, +.>To calculate a pre-pulse signal X before a shift based on the probability density function 1 The corresponding pulse temporal ductility falls within the interval [ a, b]Effective probability of->To calculate the post pulse after the shift using the probability density functionSignal->The corresponding pulse temporal ductility falls within the interval [ a, b]Effective probability of [ a, b ]]Is the desired time ductile interval.
7. The method of claim 6, wherein the probability density function is expressed as follows:
；
wherein ,pulse signal for ith shift +.>A corresponding probability density function is provided for the probability density function,and delay variance->Are all constant, random variable->，/>Is a random error based on the pulse signal.
8. An intelligent monitoring system for a slip ring, for implementing an intelligent monitoring method for a slip ring according to any one of claims 1-7, said system comprising:
the module setting module is used for setting a contact pulse acquisition module, wherein the contact pulse acquisition module is in communication connection with the slip ring abnormality monitoring module;
the signal acquisition module is used for acquiring pulse current signals in a preset monitoring period by taking the primary brush contacted by the target slip ring as a unit pulse period when pulse current is generated when the target slip ring contacts the brush according to the contact pulse acquisition module;
the signal identification module is used for carrying out signal identification on the pulse current signal according to the unit pulse periods to obtain pulse time ductility corresponding to the continuous N unit pulse periods, wherein the pulse time ductility is used for identifying the delay degree of the time length required by the target slip ring to contact the brush in the continuous N different unit pulse periods;
the first input module is used for inputting the pulse delay property into the slip ring abnormality monitoring module by the contact pulse acquisition module, wherein the slip ring abnormality monitoring module comprises parameters for monitoring and controlling slip ring rotation operation;
the function definition module is used for defining a probability density function for identifying the abnormality of the slip ring according to the historical operation parameters of the target slip ring;
and the probability determining module is used for generating a first abnormal probability according to the pulse timeliness and the probability density function when the parameters for controlling the slip ring rotation operation are not changed, and generating a first early warning signal according to the first abnormal probability.
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