METHOD FOR THE -DESTRUCTIVE DETECTING OF AGEING SYMPTOMS OF A COMPONENT HAVING REGULARLY RECURRING STRUCTURES
20220146579 · 2022-05-12
Assignee
Inventors
- Andrey Mashkin (Koln, DE)
- Daniel Hansmann (Herten, DE)
- Friedhelm Pohlmann (Essen, DE)
- Guido Schmidt (Leichlingen, DE)
Cpc classification
H02K3/32
ELECTRICITY
G01R31/308
PHYSICS
International classification
G01R31/308
PHYSICS
H02K15/00
ELECTRICITY
Abstract
A method for the non-destructive detecting of ageing symptoms of a component having regularly recurring structures, includes the following steps: a) scanning the component in the region of the recurring structures in a plurality of scanning planes which extend parallel to one another to create at least one scanning image set having a plurality of two-dimensional scanning images, wherein the scanning images show a plurality of inhomogeneities; b) automatically identifying those inhomogeneities that form recurring patterns, and those inhomogeneities that do not follow a recurring pattern, using a suitable algorithm; and c) detecting ageing symptoms exclusively on the basis of those inhomogeneities which are identified in step b) and do not follow a recurring pattern.
Claims
1. A method for non-destructive detection of signs of aging of a component having regularly recurring structures, comprising: a) scanning the component in a region of the recurring structures in a plurality of scanning planes which extend parallel to one another, creating at least one scanning image set having a plurality of two-dimensional scanning images, wherein the scanning images show a multiplicity of inhomogeneities; b) automatically identifying those inhomogeneities that form recurring patterns and those inhomogeneities that do not follow a recurring pattern, using a suitable algorithm; and c) detecting signs of aging exclusively on the basis of those inhomogeneities identified in step b) that do not follow a recurring pattern.
2. The method as claimed in claim 1, wherein the regularly recurring structures are one or more winding layers wound around a winding bar.
3. The method as claimed in claim 1, wherein the regularly recurring structures are multi-dimensionally produced structures.
4. The method as claimed in claim 1, wherein the scanning in step a) is carried out by using a terahertz, ultrasound or tomography testing technique or an optical analysis in accordance with reflection, absorption or transmission methods, or a combination of a plurality of these methods and techniques.
5. The method as claimed in claim 1, wherein the scanning image set produced in step a) is assigned to a specific region of the component.
6. The method as claimed in claim 1, wherein the detection carried out in step c) is done visually by a person, wherein during the detection the inhomogeneities identified in step b) that do not follow a recurring pattern are masked out of the scanning images or specially marked.
7. The method as claimed in claim 6, wherein the scanning images of the at least one scanning image set are displayed to the person carrying out the detection above one another and/or under one another on a monitor.
8. The method as claimed in claim 1, wherein the detection carried out in step c) is done automatically by using a further algorithm.
9. The method as claimed in claim 1, wherein the inhomogeneities identified in step b) that do not follow a recurring pattern are optically highlighted in the scanning images.
10. The method as claimed in claim 1, wherein a position and/or type and/or extent of the signs of aging detected in the context of the analysis are identified and stored.
11. A device, wherein the device is set up to carry out a method as claimed in claim 1.
12. The method as claimed in claim 2, wherein the regularly recurring structures are the winding layers of an insulating tape of stator winding insulation or of a rotor cap.
13. The method as claimed in claim 3, wherein the regularly recurring structures are multi-dimensionally produced structures comprising 3D-printed rib, support, spring or supporting elements or structures which define cavities or channels.
14. The method as claimed in claim 9, wherein the inhomogeneities identified in step b) that do not follow a recurring pattern are marked in color.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0021] Further features and advantages of the present invention will become clear by using the following description of a method according to one embodiment of the present invention with reference to the appended drawing, in which:
[0022]
[0023]
[0024]
[0025]
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[0030]
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DETAILED DESCRIPTION OF INVENTION
[0032]
[0033]
[0034]
[0035]
[0036]
[0037] In principle, the winding patterns illustrated in
[0038] During the generator operation, a structural change in the stator winding insulation takes place, which is brought about by electrical, thermal and chemical stresses. Signs of aging of the stator winding insulation are the consequence, for example in the form of cracks, delaminations, creases or the like. To determine the state of aging of the stator winding insulation and to avoid generator damage, it is necessary to detect such signs of aging and their extent as early as possible and, if necessary, to take countermeasures in good time.
[0039] In the following, with reference to
[0040]
[0041]
[0042] To eliminate this problem, in a further step, by using a suitable algorithm in the individual scanning images 6, those inhomogeneities 7 that form recurring patterns and those inhomogeneities 7 that do not follow a recurring pattern are identified. In the scanning image 6 from the scanning plane E1, the inhomogeneities 7 representing the insulating tape edges 3 are identified as those with a regularly recurring pattern and are represented as lines 8 provided with markers A1, A2, A3, . . . An. Furthermore, the inhomogeneity 7.1.1 is identified as an inhomogeneity which cannot be assigned to a recurring pattern and is marked in color. In the scanning image 6.2 from the scanning plane E2, which lies one tape layer thickness deeper than the scanning plane E1, the inhomogeneities 7 brought about by insulating tape edges 3 are likewise identified as those with a recurring pattern, identified as lines 8 provided with markers As1, As2, As3, . . . Asn, and compared with the recurring pattern to be expected, which is calculated from the markers A1, A2, A3, . . . An and the tape width B of the insulating tape 2. Furthermore, the inhomogeneities 7.1.2 and 7.2.2 are identified as inhomogeneities which cannot be assigned to a recurring pattern and are marked in color. Also in the scanning image 6.3 from the scanning plane E3, the inhomogeneities 7 brought about by insulating tape edges 3 are identified as those with a recurring pattern and represented as lines 8 provided with markers B1, B2, B3, . . . Bn. Furthermore, the inhomogeneities 7.1.3 and 7.2.3 are identified as inhomogeneities which cannot be assigned to a regular pattern and are marked in color. In the scanning image 6.4 from the scanning plane E4, which lies one tape layer thickness deeper than the scanning plane E3, the inhomogeneities 7 brought about by insulating tape edges 3 are identified as a recurring pattern, represented as lines 8 provided with markers Bs1, Bs2, Bs3, . . . Bsn and compared with the recurring pattern which is to be expected, which is calculated from the markers B1, B2, B3, . . . Bn and the tape width B of the insulating tape 2. In addition, the inhomogeneity 7.2.4 is identified as an inhomogeneity which cannot be assigned to a recurring pattern and is marked in color.
[0043]
[0044] By using the type and the position of the inhomogeneities 7.1.1 to 7.1.4 and 7.2.2 and 7.2.3, conclusions can be drawn, for example on the basis of the criteria described below.
[0045] Cracks are mostly sharp-edged, extend in the X or Y direction, which means that they can be distinguished from the insulating tape edges 3 extending at the angle α to the Y axis, and penetrate multiple insulating tape layers in the Z direction.
[0046] Delaminations mostly affect only a single layer and produce oval inhomogeneities in the scanning image.
[0047] Creases in the insulating tape 2 normally extend in the X direction, remain constant over multiple windings and fade away slowly in the Z direction.
[0048] If the inhomogeneities 7.1.1 to 7.1.4 are viewed against this background, then these unambiguously identify a crack, see also
[0049] The detection of signs of aging, as well as the identification of the type of signs of aging, can be carried out by a person. However, they are advantageously likewise done automatically by using a suitable algorithm, which can be contained in the same computer program as the aforementioned algorithm. The algorithm can make access to databases, pattern recognition logic, data analyses or the like, which make it possible to identify and possibly to assess the type of signs of aging on the basis of the type of inhomogeneities and their position.
[0050] Even though the method has been described only with reference to the creation of a single scanning image set, it should be clear that a multiplicity of such scanning image sets can be created along the X direction of the winding bar 1 in order to subject the entire stator winding insulation to a test. Each of the scanning image sets produced is assigned to a specific region of the winding bar 1. In the present case, this assignment is made on the basis of the position of the scanning head at the time of the scanning operation of the individual scanning images 6 of the scanning image set and on the basis of the size of the image region of the scanning images 6. In this way, the identified signs of aging can be localized unambiguously.
[0051] The method according to the invention makes use of the fact that reflections and therefore inhomogeneities primarily occur at locations of large material property changes, such as, for example, along insulating tape edges. If the material property changes are of a recurring nature, then they are structurally induced and can be disregarded during the detection of signs of aging, which highly simplifies the analysis of the remaining inhomogeneities. During the scanning, different frequencies or further scanning parameters, such as, for example, angles of incidence, can be selected, for example those which permit a high resolution but do not enter so deeply into the component, or those which permit a low resolution but penetrate more deeply into the component for this purpose. A combination of the two frequencies and/or angles of incidence then permits optimum scan adjustment, depending on the testing object to be achieved.
[0052] Although the invention has been illustrated and described in more detail by means of the exemplary embodiment, the invention is not restricted by the examples disclosed and other variations can be derived therefrom by those skilled in the art without departing from the protective scope of the invention. In particular, the method according to the invention can also be used in other components which have recurring structures. Examples of such components are glass-fiber, carbon-fiber or polymer-fiber reinforced plastics, metal-reinforced plastics, ceramic fiber composite materials, laminates, wound bodies which are composed of webs, fibers, filaments or fabrics and, because of the arrangement of the fibers, tapes, fabric intermeshing, etc., have regularities and therefore recurring structures, sandwich constructions as a combination of different materials, components having a three-dimensional lattice structure, in particular 3D-printed components, etc. The method according to the invention can also be applied in 3D-printed components in which a three-dimensional lattice structure is produced, the regularity and recurring character of which are based on 3D models. This structure and a corresponding 3D model can, for example, have a location-dependent variation in the lattice structure in order to be adapted to the stresses to be expected by means, for example, of increasingly narrow intermeshing.