A wind turbine blade detection data analysis method

Abstract

The present invention relates to a wind turbine blade inspection data analysis method, which sequentially comprises the following steps: defect classification; creation of a defect comparison chart; scanning a pultruded beam wind turbine blade to be analyzed and setting a scan view; data analysis; and measurement of the defect dimensions of the pultruded beam wind turbine blade obtained after analysis. This method advantageously addresses the technical issues of unclear signal characteristics of various defects and difficulty in defect identification in existing technologies. By identifying defects according to the data analysis sequence and signal characteristics of the present invention, the defect missed detection rate can be effectively reduced, thereby improving inspection quality.

Description

Technical Field

[0001] The present invention relates to the technical field of ultrasonic phased array nondestructive testing, and in particular to a method for analyzing wind turbine blade detection data. Background Art

[0002] As the power generation capacity requirements of wind turbines gradually increase, the corresponding blade size must also gradually increase, and higher standards are also required for material weight, strength and stiffness performance. Therefore, the use of pultruded boards with high-performance epoxy resin as the matrix and carbon fiber or glass fiber as the reinforcement material in the blade manufacturing process has gradually become the mainstream solution.

[0003] Compared with other forming processes, when using pultruded sheets to prepare blades, the beams can be made together with the blades, the laying process is simple, and the time required to make blades using this process is only half of the time required by the infusion process. It has a greater cost advantage and is conducive to the development trend of larger blades.

[0004] The mainstream nondestructive testing method for wind turbine blades is phased array ultrasonic testing (PAUT). PAUT is a new ultrasonic testing technology that, combined with mechanical devices and software, can simultaneously produce two-dimensional views such as A-scan, B-scan, and S-scan. Compared to conventional ultrasonic testing, PAUT boasts a focusing function, enabling more accurate defect location and precise measurement of defect length, depth, and height.

[0005] Domestic data analysis technology for ultrasonic phased array detection of pultruded beam wind turbine blades is not yet mature. The present invention is an analysis technology for ultrasonic phased array detection data of pultruded beam wind turbine blades. Summary of the Invention

[0006] Given that the current domestic data analysis technology for ultrasonic phased array detection of pultruded beam wind turbine blades is not yet mature, the purpose of the present invention is to provide a wind turbine blade detection data analysis method to solve the technical problem in the existing technology that the signal characteristics of various defects are unclear, the defect identification is difficult, and defects are easily missed during data analysis.

[0007] The above-mentioned object of the present invention is achieved through the following technical solutions:

[0008] The present invention provides a method for analyzing wind turbine blade detection data, which detects and analyzes defects of pultruded beam wind turbine blades, comprising the following steps:

[0009] S1. Classification defects:

[0010] The defects of pultruded beam wind turbine blades are classified into defects inside the beam and defects on the bonding surface according to their locations;

[0011] S2. Make defect comparison chart:

[0012] Ultrasonic phased array testing technology is used to scan defect-free pultruded beam wind turbine blades, obtaining defect-free A / B / C / D scanning views. The defect-free B scanning view shows the echo signals of each layer of pultruded plate, the beam bottom echo signal, and the web echo signal in the defect-free pultruded beam.

[0013] Ultrasonic phased array testing technology is used to scan a pultruded wind turbine blade with internal beam defects, obtaining beam defect A / B / C / D scanning views. The beam defect B scanning view shows the echo signals of each layer of pultruded plate, the beam bottom echo signal, and the web echo signal within the pultruded beam with internal beam defects.

[0014] Ultrasonic phased array testing technology was used to scan a pultruded beam wind turbine blade with a bonding surface defect, obtaining bonding surface defect A / B / C / D scanning views. The bonding surface defect B scanning view shows the echo signals of each layer of pultruded plate, the beam bottom echo signal, and the web echo signal within the pultruded beam with a bonding surface defect.

[0015] The amplitude height of the A-scan view and the colors in the B / C / D-scan views represent the echo signal strength. The colors corresponding to the echo signal strength from strong to weak are red, orange, yellow, blue, and white.

[0016] S3. Scan the pultruded beam wind turbine blade to be analyzed and set the scan view:

[0017] Ultrasonic phased array testing technology is used to scan the pultruded wind turbine blade to be analyzed, obtaining A / B / C / D scan views. The gate positions are set in the ultrasonic phased array testing system, with Gate A framing the beam bottom echo and the C scan setting displaying Gate A. At this point, the bonding area in the C scan view has a weak signal, and the C scan view displays blue or yellow. The non-bonding area in the C scan view has a strong signal, and the C scan view displays orange or red.

[0018] S4. Perform data analysis:

[0019] First, identify defects within the beam by observing the bonding area and non-bonding area in the C-scan view. Identify locations where the signal weakens by color changes. For each location where the signal weakens, compare the signal with the B-scan view in step S2 to determine whether it meets the signal characteristics of the beam defect. This is determined one by one.

[0020] Then, identify defects on the bonding surface by observing the C-scan view and identifying locations where the bonding area signal is enhanced by color changes. For each location where the signal is enhanced, compare the B-scan view in step S2 to determine whether it meets the signal characteristics of a bonding surface defect.

[0021] S5. The size of defects in the pultruded beam wind turbine blade is obtained after measurement and analysis.

[0022] As some embodiments, the internal defects of the beam in step S1 are poor wetting or dry yarn in the beam.

[0023] As some embodiments thereof, the bonding surface defect in step S1 is glue deficiency, including closed glue deficiency and open glue deficiency.

[0024] As some embodiments thereof, in step S2, compared with the B-scan view without defects, the beam bottom echo signal and the web echo signal of the B-scan view of the defect in the beam are weakened or disappear, and the pultruded plate echo signal at the defect position in the beam is significantly enhanced.

[0025] As some of the embodiments, in step S2, the web echo signal of the B-scan view of the bonding surface defect is significantly weakened or disappeared compared to the B-scan view without defects, and the beam bottom echo signal is significantly enhanced, and its amplitude is less than 6 dB lower than the amplitude of the beam bottom echo signal in the non-bonded area.

[0026] The beneficial technical effects of the present invention are:

[0027] The present invention provides a wind turbine blade detection data analysis method that can solve the technical problems in the prior art of unclear signal characteristics of various defects and difficulty in defect identification. By identifying defects according to the data analysis sequence and signal characteristics of the present invention, the defect missed detection rate can be effectively reduced and the detection quality can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 These are the A / B / C / D scanning views of a defect-free pultruded beam wind turbine blade in an embodiment of the present invention after being scanned using ultrasonic phased array testing technology;

[0029] Figure 2 These are the A / B / C / D scanning views of a pultruded beam wind turbine blade with internal defects in an embodiment of the present invention after being scanned using ultrasonic phased array detection technology;

[0030] Figure 3 These are the A / B / C / D scanning views of a pultruded beam wind turbine blade with bonding surface defects in an embodiment of the present invention after being scanned using ultrasonic phased array detection technology;

[0031] Figure 4 These are A / B / C / D scanning views of a pultruded beam wind turbine blade to be analyzed in an embodiment of the present invention after being scanned using ultrasonic phased array detection technology;

[0032] Figure 5 In the embodiment of the present invention Figure 4 The basic C-scan setting displays the A / B / C / D scan views after the A gate;

[0033] Figure 6 4 is a data analysis flow chart in an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application; it is obvious that the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. Example

[0035] The present invention discloses a method for analyzing wind turbine blade detection data, which detects and analyzes defects of pultruded beam wind turbine blades, comprising the following steps:

[0036] S1. Classification defects:

[0037] The defects of pultruded beam wind turbine blades are classified into internal beam defects and bonding surface defects according to their location. Internal beam defects are poor infiltration or dry yarn inside the beam, and bonding surface defects are glue deficiency, including closed glue deficiency and open glue deficiency.

[0038] S2. Make defect comparison chart:

[0039] Ultrasonic phased array detection technology is used to scan defect-free pultruded beam wind turbine blades to obtain defect-free A / B / C / D scanning views, such as Figure 1 As shown, the defect-free B-scan view shows the echo signals of each layer of pultruded plate in the defect-free pultruded beam, the beam bottom echo signal and the web echo signal;

[0040] Ultrasonic phased array detection technology is used to scan the pultruded beam wind turbine blade with defects inside the beam, and the A / B / C / D scanning views of the defects inside the beam are obtained, such as Figure 2 As shown, the B-scan view of the internal defect in the beam shows the echo signals of each layer of pultruded plate in the pultruded beam with the internal defect, the beam bottom echo signal, and the web echo signal. Compared with the B-scan view without the defect, the beam bottom echo signal and the web echo signal in the B-scan view of the internal defect in the beam are weakened or disappeared, and the pultruded plate echo signal at the position of the defect in the beam is significantly enhanced.

[0041] The ultrasonic phased array detection technology is used to scan the pultruded beam wind turbine blade with bonding surface defects, and the bonding surface defect A / B / C / D scanning views are obtained, as shown in the figure below. Figure 3 As shown, the bonding surface defect B scanning view shows the echo signals of each layer of pultruded plate in the pultruded beam with bonding surface defects, the beam bottom echo signal, and the web echo signal. Compared with the non-defective B scanning view, the web echo signal in the bonding surface defect B scanning view is significantly weakened or disappeared, and the beam bottom echo signal is significantly enhanced. The amplitude is less than 6dB lower than the amplitude of the beam bottom echo signal in the non-bonded area.

[0042] Among them, the amplitude height of the above-mentioned A-scan view and the color in the B / C / D-scan view represent the echo signal strength. The colors corresponding to the echo signal strength from strong to weak are red, orange, yellow, blue, and white. Among the above A / B / C / D-scan views, the A-scan view is the view displayed in the lower right corner of the screen, the B-scan view is the view displayed in the lower left corner of the screen, the C-scan view is the view displayed in the upper left corner of the screen, and the D-scan view is the view displayed in the upper right corner of the screen.

[0043] S3. Scan the pultruded beam wind turbine blade to be analyzed and set the scan view:

[0044] The ultrasonic phased array detection technology is used to scan the pultruded beam wind turbine blade to be analyzed, and the A / B / C / D scanning views are obtained, such as Figure 4 As shown in the figure, the gate position is set in the ultrasonic phased array detection technology system, and the A gate is used to frame the beam bottom echo. The C scan setting displays the A gate. At this time, the bonding area signal in the C scan view is weak, and the C scan view displays blue or yellow. The non-bonding area signal in the C scan view is strong, and the C scan view displays orange or red. Figure 5 shown.

[0045] S4. Perform data analysis:

[0046] First, identify defects within the beam by observing the bonding area and non-bonding area in the C-scan view. Identify locations where the signal weakens by color changes. For each location where the signal weakens, compare the signal with the B-scan view in step S2 to determine whether it meets the signal characteristics of the beam defect. This is determined one by one.

[0047] Then, identify the bonding surface defects, observe the C-scan view, and identify the location of the bonding area signal enhancement through color changes. For each signal enhancement location, compare the B-scan view in step S2 to determine whether it meets the signal characteristics of the bonding surface defect.

[0048] S5. The size of defects in the pultruded beam wind turbine blade is obtained after measurement and analysis.

[0049] The analysis process of S4 and S5 is as follows Figure 6 shown.

[0050] The advantage of this embodiment is that it can solve the technical problems in the prior art of unclear signal characteristics of various defects and difficulty in defect identification. By identifying defects according to the data analysis sequence and signal characteristics of the present invention, the defect missed detection rate can be effectively reduced and the detection quality can be improved.

[0051] The embodiments of this specific implementation method are all preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. The above embodiments can be used in combination with each other. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for analyzing wind turbine blade detection data, characterized in that: Detecting and analyzing defects in pultruded beam wind turbine blades includes the following steps: S1. Classification defects: The defects of pultruded beam wind turbine blades are classified into defects inside the beam and defects on the bonding surface according to their locations; S2. Make defect comparison chart: Ultrasonic phased array testing technology is used to scan defect-free pultruded beam wind turbine blades, obtaining defect-free A / B / C / D scanning views. The defect-free B scanning view shows the echo signals of each layer of pultruded plate, the beam bottom echo signal, and the web echo signal in the defect-free pultruded beam. Ultrasonic phased array testing technology is used to scan a pultruded wind turbine blade with internal beam defects, obtaining beam defect A / B / C / D scanning views. The beam defect B scanning view shows the echo signals of each layer of pultruded plate, the beam bottom echo signal, and the web echo signal within the pultruded beam with internal beam defects. Ultrasonic phased array testing technology was used to scan a pultruded beam wind turbine blade with a bonding surface defect, obtaining bonding surface defect A / B / C / D scanning views. The bonding surface defect B scanning view shows the echo signals of each layer of pultruded plate, the beam bottom echo signal, and the web echo signal within the pultruded beam with a bonding surface defect. The amplitude height of the A-scan view and the colors in the B / C / D-scan views represent the echo signal strength. The colors corresponding to the echo signal strength from strong to weak are red, orange, yellow, blue, and white. S3. Scan the pultruded beam wind turbine blade to be analyzed and set the scan view: Ultrasonic phased array testing technology is used to scan the pultruded wind turbine blade to be analyzed, obtaining A / B / C / D scan views. The gate positions are set in the ultrasonic phased array testing system, with Gate A framing the beam bottom echo and the C scan setting displaying Gate A. At this point, the bonding area in the C scan view has a weak signal, and the C scan view displays blue or yellow. The non-bonding area in the C scan view has a strong signal, and the C scan view displays orange or red. S4. Perform data analysis: First, identify defects within the beam by observing the bonding area and non-bonding area in the C-scan view. Identify locations where the signal weakens by color changes. For each location where the signal weakens, compare the signal with the B-scan view in step S2 to determine whether it meets the signal characteristics of the beam defect. This is determined one by one. Then, identify defects on the bonding surface by observing the C-scan view and identifying locations where the bonding area signal is enhanced by color changes. For each location where the signal is enhanced, compare the B-scan view in step S2 to determine whether it meets the signal characteristics of a bonding surface defect. S5. The size of the defect of the pultruded beam wind turbine blade obtained after measurement and analysis; In step S2, compared with the B-scan view without defects, the beam bottom echo signal and the web echo signal are weakened or disappeared in the B-scan view of the beam defect, and the pultruded plate echo signal at the defect position in the beam is significantly enhanced; In step S2, the web echo signal of the B-scan view with bonding surface defects is significantly weakened or disappeared compared with the B-scan view without defects, and the beam bottom echo signal is significantly enhanced, and its amplitude is less than 6dB lower than the amplitude of the beam bottom echo signal in the non-bonded area.

2. The wind turbine blade detection data analysis method according to claim 1, characterized in that: The internal defects of the beam in step S1 are poor wetting or dry yarn in the beam.

3. The wind turbine blade detection data analysis method according to claim 1, characterized in that: The bonding surface defect in step S1 is glue deficiency, including closed glue deficiency and open glue deficiency.

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