Method for fault diagnosis of a beam profile monitor control panel

Abstract

The present application relates to the technical field of fault diagnosis, and specifically discloses a fault diagnosis method for a beam profile detector control panel, comprising the following steps: step S1: acquiring digital signals of all acquisition channels under different working environments within a set time window, and calculating the stability indexes of the signals by comparison; step S2: selecting the two signals with the highest stability indexes and the corresponding channels as stable channels, and calculating the correlation coefficient between the two stable signals; step S3: acquiring real-time digital signals of the stable channels and the correlation coefficient thereof in real time when the device is working, generating a correlation coefficient regression line, and determining whether the device has a fault by calculating whether the angle between the regression line and the horizontal line exceeds a preset threshold; the present application significantly improves the early warning capability and diagnosis reliability of the beam profile detector under complex working conditions.

Description

Technical Field

[0001] This invention relates to the field of fault diagnosis technology, and more specifically to a fault diagnosis method for a beam profiler control board. Background Technology

[0002] The beam profiler is a critical diagnostic device in accelerator facilities. Its control board is responsible for processing weak signals from the detectors, and its long-term stability directly affects the reliability of beam monitoring data. In actual operation, the control board is constantly subjected to mechanical vibration and thermal cycling stress, making it highly susceptible to intermittent failures such as poor component contact and microcracks in solder joints. These failures occur transiently and are highly random, making them difficult to reproduce and detect through traditional static testing and periodic inspections.

[0003] Existing fault diagnosis solutions suffer from two main shortcomings. First, they rely on comparing current performance with pre-stored health status benchmark parameters. However, the performance of the control board slowly drifts with the normal aging of components, causing the static benchmark to gradually become invalid and easily leading to false alarms. Furthermore, this method is unsuitable for new or replacement boards that lack a unified gold standard due to batch variations. Second, the existing fault diagnosis methods, which involve injecting test signals and analyzing the response, interfere with the normal operation of the system and fail to reflect fault characteristics under real beam loads and complex electromagnetic environments.

[0004] Therefore, there is an urgent need in this field for a method that can achieve real-time and accurate diagnosis of intermittent faults without relying on historical health data during the online operation of the control board, in order to overcome the limitations of existing technologies and improve the operation and maintenance support level of the beam profile detection system. Summary of the Invention

[0005] The purpose of this invention is to provide a fault diagnosis method for the control board of a beam profiler, and to solve the following technical problems.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] A fault diagnosis method for the control board of a beam profiler includes the following steps:

[0008] Step S1: Obtain all acquisition channels of the beam profiler, set a time window, acquire the digital signals of each acquisition channel under different working conditions within the time window, compare the digital signals, and obtain the stability index of each digital signal.

[0009] Step S2: Select the two digital signals with the highest stability index and record them as stable signals. Record the acquisition channel corresponding to the stable signal as a stable channel and obtain the correlation coefficient between the two stable signals.

[0010] Step S3: When the beam profiler starts working, it acquires the real-time digital signals of two stable channels in real time, and acquires the correlation coefficient between the two real-time digital signals in real time, which is recorded as the real-time correlation coefficient, and generates a correlation coefficient regression line; a horizontal line is set, and the angle between the correlation coefficient regression line and the horizontal line is acquired in real time. If the angle exceeds the preset angle threshold, the beam profiler is faulty.

[0011] As a further aspect of the present invention: the working environment includes several working environment parameters, and different working environments refer to different working environment parameters. The working environment parameters include mechanical vibration intensity and ambient temperature.

[0012] As a further aspect of the present invention: the process of acquiring the digital signals of each acquisition channel includes:

[0013] The synchronous triggering circuit integrated within the beam profiler is used to synchronously acquire data from each acquisition channel under the same clock source, obtaining analog signals from each acquisition channel. The analog signals are then converted into digital signals using an ADC. The data acquisition parameters include a sampling rate greater than or equal to 1 kHz and a resolution greater than or equal to 16 bits.

[0014] As a further aspect of the present invention, the process of obtaining the stability index of each digital signal includes:

[0015] For any acquisition channel, acquire all digital signals of the acquisition channel under each working environment, place each digital signal in the same coordinate system with the starting points coinciding, and in the coordinate system, draw vertical lines parallel to the vertical axis through each horizontal coordinate value in sequence.

[0016] The highest point of each vertical line is obtained, and these highest points are connected sequentially with a smooth curve in the coordinate system to obtain the upper boundary curve. Similarly, the lowest point of each vertical line is obtained, and these lowest points are connected sequentially with a smooth curve in the coordinate system to obtain the lower boundary curve. Based on the upper and lower boundary curves, the stability index of the acquisition channel is calculated. Where U(t) represents the expression for the upper boundary curve, D(t) represents the expression for the lower boundary curve, t represents the x-coordinate value, t1 represents the first x-coordinate value, and t n This represents the nth x-coordinate value, where n is the total number of x-coordinate values.

[0017] As a further aspect of the present invention: the process of obtaining the highest and lowest points of the vertical line includes:

[0018] For any vertical line, obtain all intersection points of the vertical line with each digital signal, record the intersection point with the lowest ordinate value as the lowest point of the vertical line, and record the intersection point with the highest ordinate value as the highest point of the vertical line.

[0019] As a further aspect of the present invention: the process of obtaining the correlation coefficient between two stable signals includes:

[0020] For any given operating environment, acquire the digital signal sequences of two stable signals, and denote them as X = {x1, x2, ..., x...} n} and Y = {y1, y2, ..., y n} where x1 represents the first sampling point in the digital signal sequence X, and y1 represents the first sampling point in the digital signal sequence Y; obtain the Pearson correlation coefficient between the two digital signal sequences. , where x i Let y represent the i-th sampling point in the digital signal sequence X. i Let i represent the i-th sampling point in the digital signal sequence Y, where i ∈ [1, n] and i is a positive integer;

[0021] Obtain all Pearson correlation coefficients of the two stable signals under various working conditions, and take the average value of all Pearson correlation coefficients as the correlation coefficient between the two stable signals.

[0022] As a further aspect of the present invention: the process of generating the correlation coefficient regression line includes:

[0023] A new coordinate system is established with the serial number as the x-axis and the correlation coefficient as the y-axis. The real-time correlation coefficients between the two real-time acquired digital signals are numbered, and each serial number and its corresponding real-time correlation coefficient are converted into coordinate points at the corresponding positions in the new coordinate system. The least squares method is used to fit each coordinate point to obtain the regression line of each coordinate point, which is denoted as the correlation coefficient regression line.

[0024] As a further aspect of the present invention: if the included angle is less than or equal to a preset included angle threshold, then the real-time correlation coefficient of the two stable signals continues to be monitored.

[0025] The beneficial effects of this invention are:

[0026] This invention evaluates and selects the most stable channel combinations under various operating environments, ensuring the high reliability of the data source upon which subsequent diagnostics rely. This fundamentally reduces the risk of misjudgment caused by inherent defects in a single channel. Furthermore, by calculating the long-term trend of correlation coefficients between stable channels in real time, it can keenly capture early signs of gradual degradation of system performance or potential faults. Compared to traditional methods that only judge whether instantaneous values ​​exceed thresholds, this trend-based analysis can discover latent faults that have not yet caused system paralysis but are continuously deteriorating earlier and more reliably. This provides key decision-making basis for preventive maintenance, effectively avoids the escalation of faults, and ultimately ensures that the beam profiler can achieve long-term, stable, and accurate operation. Attached Figure Description

[0027] The invention will now be further described with reference to the accompanying drawings.

[0028] Figure 1 This is a schematic diagram of the steps of the fault diagnosis method for the control board of the beam profiler of the present invention. Detailed Implementation

[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] Please see Figure 1 As shown, the present invention is a fault diagnosis method for the control board of a beam profiler, comprising the following steps:

[0031] Step S1: Obtain all acquisition channels of the beam profiler, set a time window, acquire the digital signals of each acquisition channel under different working conditions within the time window, compare the digital signals, and obtain the stability index of each digital signal.

[0032] Specifically, all acquisition channels of the beam profiler are acquired, a time window is set, and within the time window, the working conditions of different mechanical vibration intensities (0.5 to 2.0 g) and ambient temperatures (-10℃ to +60℃) are simulated by controlling environmental testing equipment. The digital signals of each acquisition channel under the corresponding working conditions are acquired synchronously. By comparing and analyzing the fluctuation characteristics of each channel signal under different environmental stresses, the stability index of each digital signal is calculated.

[0033] In a preferred embodiment of the present invention, the working environment includes several working environment parameters, where different working environments refer to different working environment parameters. The working environment parameters include mechanical vibration intensity and ambient temperature.

[0034] It is understood that different working environments include various environmental conditions caused by the actual working conditions of the beam profiler, encompassing different mechanical vibration intensities and different temperature levels; wherein, the different mechanical vibration intensities include vibrations caused by the operation of the accelerator equipment, the operation of the cooling system, and the activities of on-site personnel; and the different temperature levels include temperature fluctuations caused by the equipment's own heat generation, diurnal variations in ambient temperature, and adjustments by the laboratory air conditioning system.

[0035] In a preferred embodiment of the present invention, the process of setting the time window includes:

[0036] The reference duration of the time window is determined based on the working environment parameters of the beam profiler; the characteristic period of the mechanical vibration spectrum is obtained based on the mechanical vibration intensity, and the ambient temperature change period is obtained based on the ambient temperature; the larger value between the characteristic period of the mechanical vibration spectrum and the ambient temperature change period is taken as the reference duration of the time window.

[0037] In a preferred embodiment of the present invention, the process of acquiring the digital signals of each acquisition channel includes:

[0038] The synchronous triggering circuit integrated within the beam profiler is used to synchronously acquire data from each acquisition channel under the same clock source, obtaining analog signals from each acquisition channel. The analog signals are then converted into digital signals using an ADC. The data acquisition parameter settings include a sampling rate greater than or equal to 1kHz and a resolution greater than or equal to 16 bits.

[0039] In a preferred embodiment of the present invention, the process of obtaining the stability index of each digital signal includes:

[0040] For any acquisition channel, acquire all digital signals of the acquisition channel under each working environment, place all digital signals in the same coordinate system with the starting points coinciding; in the coordinate system, draw vertical lines parallel to the ordinate axis through each abscissa value in sequence, for any vertical line, acquire all intersection points of the vertical line with each digital signal, record the intersection point with the lowest ordinate value as the lowest point of the vertical line, and record the intersection point with the highest ordinate value as the highest point of the vertical line;

[0041] The highest point of each vertical line is obtained, and these highest points are connected sequentially with a smooth curve in the coordinate system to obtain the upper boundary curve. Similarly, the lowest point of each vertical line is obtained, and these lowest points are connected sequentially with a smooth curve in the coordinate system to obtain the lower boundary curve. Based on the upper and lower boundary curves, the stability index of the acquisition channel is calculated. Where U(t) represents the expression for the upper boundary curve, D(t) represents the expression for the lower boundary curve, t represents the x-coordinate value, t1 represents the first x-coordinate value, and t n This represents the nth x-coordinate value, where n is the total number of x-coordinate values;

[0042] It should be noted that for any acquisition channel, all digital signals of the acquisition channel under each working environment are acquired. The amplitude range of the digital signals is [0, 5]V, corresponding to the beam current intensity [0%, 100%]. Each digital signal is placed in the same time-voltage coordinate system, and the starting time points of all signals are aligned. In the coordinate system, with a fixed time interval, usually [1ms, 10ms], vertical lines parallel to the voltage axis are drawn sequentially through each time point.

[0043] For any vertical line, obtain all intersection points of the vertical line with each digital signal waveform. Considering that there may be noise interference in the actual signal, first filter the voltage value of the intersection point to remove abnormal points that obviously exceed the error threshold; record the point with the lowest voltage value among the remaining intersection points as the lowest point of the vertical line, and the point with the highest voltage value as the highest point of the vertical line.

[0044] It can be understood that, within a set time window, the SI value represents the area of ​​the fluctuation range of the output signal of the acquisition channel under different working environments. The smaller the SI value, the more stable the output of the channel is, the less affected it is by environmental changes, and the more suitable it is to be selected as the reference channel for subsequent fault diagnosis.

[0045] Step S2: Select the two digital signals with the highest stability index and record them as stable signals. Record the acquisition channel corresponding to the stable signal as a stable channel and obtain the correlation coefficient between the two stable signals.

[0046] Specifically, the two digital signals with the highest stability index are selected from all acquisition channels and recorded as stable signals. The acquisition channels corresponding to the stable signals are recorded as stable channels. Based on the data acquired in step S1 under different working environments, the signal correlation coefficients of the two stable channels under each environmental condition are calculated respectively. The average value of the correlation coefficients under all environmental conditions is taken to obtain the comprehensive correlation coefficient as a benchmark reference value.

[0047] In a preferred embodiment of the present invention, the process of obtaining the correlation coefficient between two stable signals includes:

[0048] For any given operating environment, acquire the digital signal sequences of two stable signals, and denote them as X = {x1, x2, ..., x...} n} and Y = {y1, y2, ..., y n} where x1 represents the first sampling point in the digital signal sequence X, and y1 represents the first sampling point in the digital signal sequence Y; obtain the Pearson correlation coefficient between the two digital signal sequences. , where x i Let y represent the i-th sampling point in the digital signal sequence X. i Let i represent the i-th sampling point in the digital signal sequence Y, where i ∈ [1, n] and i is a positive integer;

[0049] Obtain all Pearson correlation coefficients of the two stable signals under various working environments, and obtain the average value of all Pearson correlation coefficients, which is denoted as the correlation coefficient between the two stable signals.

[0050] Step S3: When the beam profiler starts working, it acquires the real-time digital signals of two stable channels in real time, and acquires the correlation coefficient between the two real-time digital signals in real time, which is recorded as the real-time correlation coefficient, and generates a correlation coefficient regression line; a horizontal line is set, and the angle between the correlation coefficient regression line and the horizontal line is acquired in real time. If the angle exceeds the preset angle threshold, the beam profiler is faulty.

[0051] It should be noted that during the real-time acquisition of the real-time digital signals of the two stable channels, the real-time digital signals of the two stable channels are acquired synchronously with a fixed sampling period, which is generally set to [10ms, 100ms].

[0052] In a preferred embodiment of the present invention, the process of generating the correlation coefficient regression line includes:

[0053] A new coordinate system is established with the serial number as the x-axis and the correlation coefficient as the y-axis. The real-time correlation coefficients between the two real-time digital signals are numbered, and each serial number and its corresponding real-time correlation coefficient are converted into coordinate points in the new coordinate system. The least squares method is used to fit each coordinate point to obtain the regression line of each coordinate point, which is denoted as the correlation coefficient regression line.

[0054] The slope of the correlation coefficient regression line characterizes the changing trend of system stability.

[0055] In a preferred embodiment of the present invention, the horizontal line is parallel to the horizontal axis in the new coordinate system;

[0056] In a preferred embodiment of the present invention, if the included angle is less than or equal to a preset included angle threshold, the real-time correlation coefficient of the two stable signals continues to be monitored.

[0057] To further explain, a horizontal reference line parallel to the horizontal axis is set, and the angle θ between the correlation coefficient regression line and the horizontal reference line is calculated. When the angle θ is detected to continuously exceed the preset threshold for a preset duration, it is determined that the beam profile detector has a stability degradation fault, and a graded alarm is triggered.

[0058] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the present invention should still fall within the scope of the invention.

Claims

1. A fault diagnosis method for the control board of a beam profiler, characterized in that, Includes the following steps: Step S1: Obtain all acquisition channels of the beam profiler, set a time window, acquire the digital signals of each acquisition channel under different working conditions within the time window, compare the digital signals, and obtain the stability index of each digital signal. Step S2: Select the two digital signals with the highest stability index and record them as stable signals. Record the acquisition channel corresponding to the stable signal as a stable channel and obtain the correlation coefficient between the two stable signals. Step S3: When the beam profiler starts working, it acquires the real-time digital signals of two stable channels in real time, and acquires the correlation coefficient between the two real-time digital signals in real time, which is recorded as the real-time correlation coefficient, and generates a correlation coefficient regression line; a horizontal line is set, and the angle between the correlation coefficient regression line and the horizontal line is acquired in real time. If the angle exceeds the preset angle threshold, the beam profiler is faulty. In step S1, the process of obtaining the stability index of each digital signal includes: For any acquisition channel, acquire all digital signals of the acquisition channel under each working environment, place each digital signal in the same coordinate system with the starting points coinciding, and in the coordinate system, draw vertical lines parallel to the vertical axis through each horizontal coordinate value in sequence. The highest point of each vertical line is obtained, and these highest points are connected sequentially with a smooth curve in the coordinate system to obtain the upper boundary curve. Similarly, the lowest point of each vertical line is obtained, and these lowest points are connected sequentially with a smooth curve in the coordinate system to obtain the lower boundary curve. Based on the upper and lower boundary curves, the stability index of the acquisition channel is calculated. Where U(t) represents the expression for the upper boundary curve, D(t) represents the expression for the lower boundary curve, t represents the x-coordinate value, t1 represents the first x-coordinate value, and t n This represents the nth x-coordinate value, where n is the total number of x-coordinate values.

2. The fault diagnosis method for the control board of a beam profiler according to claim 1, characterized in that, In step S1, the working environment includes several working environment parameters. Different working environments refer to different working environment parameters. The working environment parameters include mechanical vibration intensity and ambient temperature.

3. The fault diagnosis method for the control board of a beam profiler according to claim 1, characterized in that, In step S1, the process of acquiring the digital signals of each acquisition channel includes: The synchronous triggering circuit integrated within the beam profiler is used to synchronously acquire data from each acquisition channel under the same clock source, obtaining analog signals from each acquisition channel. The analog signals are then converted into digital signals using an ADC. The data acquisition parameters include a sampling rate greater than or equal to 1 kHz and a resolution greater than or equal to 16 bits.

4. The fault diagnosis method for the control board of a beam profiler according to claim 1, characterized in that, In step S1, the process of obtaining the highest and lowest points of the vertical line includes: For any vertical line, obtain all intersection points of the vertical line with each digital signal, record the intersection point with the lowest ordinate value as the lowest point of the vertical line, and record the intersection point with the highest ordinate value as the highest point of the vertical line.

5. The fault diagnosis method for the control board of a beam profiler according to claim 1, characterized in that, In step S2, the process of obtaining the correlation coefficient between two stable signals includes: For any given operating environment, acquire the digital signal sequences of two stable signals, and denote them as X = {x1, x2, ..., x...} n } and Y = {y1, y2, ..., y n } where x1 represents the first sampling point in the digital signal sequence X, and y1 represents the first sampling point in the digital signal sequence Y; obtain the Pearson correlation coefficient between the two digital signal sequences. , where x i Let y represent the i-th sampling point in the digital signal sequence X. i Let i represent the i-th sampling point in the digital signal sequence Y, where i ∈ [1, n] and i is a positive integer; Obtain all Pearson correlation coefficients of the two stable signals under various working conditions, and take the average value of all Pearson correlation coefficients as the correlation coefficient between the two stable signals.

6. The fault diagnosis method for the control board of a beam profiler according to claim 1, characterized in that, In step S3, the process of generating the correlation coefficient regression line includes: A new coordinate system is established with the serial number as the x-axis and the correlation coefficient as the y-axis. The real-time correlation coefficients between the two real-time acquired digital signals are numbered, and each serial number and its corresponding real-time correlation coefficient are converted into coordinate points at the corresponding positions in the new coordinate system. The least squares method is used to fit each coordinate point to obtain the regression line of each coordinate point, which is denoted as the correlation coefficient regression line.

7. The fault diagnosis method for the control board of a beam profiler according to claim 1, characterized in that, In step S3, if the included angle is less than or equal to a preset included angle threshold, the real-time correlation coefficient of the two stable signals continues to be monitored.

Images