CN111380606A - Noise detection method for steering column - Google Patents
Noise detection method for steering column Download PDFInfo
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- CN111380606A CN111380606A CN201811613830.6A CN201811613830A CN111380606A CN 111380606 A CN111380606 A CN 111380606A CN 201811613830 A CN201811613830 A CN 201811613830A CN 111380606 A CN111380606 A CN 111380606A
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- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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Abstract
The invention provides a noise detection method of a steering column, which is characterized in that an acceleration sensor is arranged at a proper position on the upper surface of a test bench, noise signals collected by the acceleration sensor are subjected to time domain analysis and sample number statistics through noise signal analysis software, and finally the root cause of noise generation is found by combining a Xiening method, and comprises the following steps: (a) a step of confirming a noise generation position, (b) a step of confirming an influence degree of the assembly pair noise, (c) a step of performing component search, (d) a step of determining a most dominant factor influencing the noise, (e) a verification step.
Description
Technical Field
The invention relates to a noise detection method of a steering column, in particular to a noise detection method of an electric power steering column.
Background
The change of the driving direction of the automobile is realized by changing the deflection angle of the steering wheel by operating the steering system by a driver. The steering column is connected with a steering wheel and connected with a wheel steering mechanism, and the torque from the steering wheel is transmitted to the steering mechanism. At present, use electronic power assisted steering tubular column in a large number, it combines together electronic booster unit (motor) and steering column and forms, compares with traditional hydraulic power assisted steering tubular column, owing to directly provide the power assisted steering through electronic booster unit, has saved power steering oil pump, hose, hydraulic oil, conveyer belt and the belt pulley etc. of adorning on the engine that hydraulic power steering system is necessary, both energy saving has protected the environment again. In addition, the steering assisting device has the characteristics of simple adjustment, flexible assembly and capability of providing steering assisting power under various conditions. For the above reasons, the electric power steering column is widely used for small vehicles.
However, the steering column assembly is mainly located in the vehicle cabin, and if a certain part of the steering column assembly generates noise during operation, the noise affects the driving of the driver, and may negatively evaluate the product. Therefore, it is necessary to detect and eliminate the cause of noise generation in the steering column.
Conventionally, noise detection methods for steering columns generally employ a method of judging by manual experience or detecting by using a mechanical stethoscope. However, in these existing methods, the category of the cause of noise generation cannot be effectively distinguished, and thus it takes a lot of time and it is difficult to find a rapid and effective diagnostic method for the noise source. In addition, some noises are sometimes absent and difficult to reproduce, so that the difficulty of detecting the noises is increased.
Disclosure of Invention
The present invention is made to solve the above problems of the prior art, and an object of the present invention is to provide a noise detection method for a steering column based on the xiening method, which can quickly and effectively detect a noise source and a generation mechanism in response to most of noise problems (e.g., friction noise, knocking noise, and transient noise) occurring during the use of an electric power steering column.
In order to achieve the above object, the present invention provides a noise detection method for a steering column, in which an acceleration sensor is mounted at a suitable position on an upper surface of a test bed, a noise signal analysis software is used to perform time domain analysis and sample number statistics on a noise signal collected by the acceleration sensor, and a chening method is combined to finally find a source of noise generation, the method including: (a) a step of confirming a noise generation position, (b) a step of confirming an influence degree of the assembly pair noise, (c) a step of performing component search, (d) a step of determining a most dominant factor influencing the noise, (e) a verification step.
Preferably, in the step (a), by changing the position for placing the acceleration sensor, different noise propagation paths are compared by using noise signal analysis software, or a time domain signal and a frequency domain signal are compared, and the position where the surface vibration of the steering column is most obvious is found out; in the step (b), observing the degree of influence of the assembly on the noise by changing the assembly state of the noise piece at the determined position; in the step (c), under the condition that the degree of influence of the assembly of the noise piece on the noise is small, measuring the amplitude of the acceleration at the same position of a new sample piece with the same model, and performing component search by using the new sample piece with obviously smaller amplitude and the noise piece; in step (d), a problem-solving tree is established, and the most main factors influencing noise are determined; in step (e), the source and mechanism of the noise problem is finally characterized by a proof test.
Preferably, in step (d), the most dominant factors affecting noise are determined by multivariate techniques and strategy maps.
Preferably, in step (d), the method further comprises the step of building a problem-solving tree for the noise element again, and finding out which sub-part of the noise element the most important factor influencing the noise comes from.
Preferably, the elimination and confirmation are performed step by step according to the hierarchical structure of the problem solving tree, and finally, the sub-parts generating the noise are obtained.
Preferably, in the component search, the new sample piece and the noise piece are exchanged, and detection, comparison and analysis are performed after reassembly.
Preferably, the assembled state of the noise member is an installation moment of a certain component in the noise member.
Effects of the invention
According to the invention, the noise source and the generation mechanism can be rapidly and effectively detected.
Drawings
Fig. 1 is a flowchart showing a noise detection method for a steering column according to an embodiment of the present invention.
FIG. 2 is an exemplary diagram illustrating building a problem-solving tree for minimal sub-assemblies.
Detailed Description
Preferred embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
The steering column is a commonly used electric power steering column in the technical field, and forms an EPS electric power steering system together with a torque sensor, a motor, an ECU module and the like.
The device used in the noise detection method for a steering column according to the present invention mainly includes a test stand, an acceleration sensor, a computer with noise signal analysis software installed therein, a communication mechanism for transmitting signals between the acceleration sensor and the computer, and the like.
The key point of the invention is that an acceleration sensor is arranged at a proper position on the upper surface of the test bed, noise signals collected by the acceleration sensor are subjected to time domain analysis and sample number statistics through noise signal analysis software, and finally the root cause of noise generation is found by combining a Xiening method.
Next, a concrete implementation of the noise detection method for a steering column according to the present invention will be described with reference to the drawings, taking as an example the detection of a certain frictional noise in a steering column (actually, the detection is caused by an excessive fitting pressure of a loose bearing in a worm sub-assembly of the steering column).
Fig. 1 is a flowchart showing a noise detection method for a steering column according to an embodiment of the present invention. As shown in fig. 1, first, a noise generation position is confirmed, that is, an acceleration sensor is placed at an appropriate position on the upper surface of the test stand, a noise signal is collected, the position where the acceleration sensor is placed is changed, the sound intensity of the noise propagation path and the frequency domain signal at different positions are compared, a position where the surface vibration of the steering column is most significant is found, and a minimum sub-assembly (that is, a noise member) at the position is confirmed (step S1). Then, the process proceeds to step S2. Here, in order to ensure the positional validity, it is preferable to repeatedly check the position where the surface vibration of the steering column is most noticeable. For example, in step S1, it is confirmed that the position is the upper string.
In step S2, the degree of influence of the fitting on the noise, that is, the state of fitting of the steering column is changed, specifically, for example, the fixing torque of the bolt between the upper column and the drive unit is reduced or increased, and the degree of influence of the fitting on the noise is observed. If the degree of influence of the assembly on the noise is observed in step S2, it is determined that the assembly state of the upper column of the steering column is the source of the noise, and the noise detection is terminated after confirmation. If it is observed in step S2 that the degree of influence of the mounting on the noise is small, the process proceeds to step S3.
In step S3, a component search is performed, that is, a new sample of the same model is selected, the amplitude of the acceleration is measured at the same position of the new sample of the same model using the acceleration sensor, and the component search is performed using the new sample and the noise component, whose amplitudes are significantly smaller. Namely, a problem solving method based on the Xinning method is utilized to exchange a new sample piece and a noise piece, and detection, comparison and analysis are carried out after reassembly. Then, the process proceeds to step S4.
In step S4, a problem solving tree is created, and the most dominant factors affecting noise are determined to come from the smallest sub-assemblies as noise components by means of multivariate techniques and strategy maps.
Since the smallest sub-assemblies are not easily disassembled, it is considered to re-establish the problem-solving tree for the smallest sub-assemblies. Here, a problem-solving tree is created as shown in fig. 2, and elimination and confirmation are performed step by step according to the hierarchical structure of the problem-solving tree, and finally, a sub-part that generates noise is obtained. Specifically, the ECU, motor or motor hub is excluded in step 4.1; identifying the worm sub-assembly as the smallest sub-assembly in step 4.2; the bearing seat radial runout is excluded in step 4.3; in step 4.4, the worm 1 and the worm 2 are excluded and identified as loose bearings. That is, the most significant cause of this frictional noise is ultimately found to come from loose bearings as sub-parts in the smallest sub-assemblies. Then, the process proceeds to step S5.
In step S5, the source and mechanism of the qualitative noise problem is finalized by a proof test. In step S5, it is finally determined that the source of the frictional noise is that the fitting press-in force of the loose bearing on the worm sub-assembly is excessive.
This concludes the series of steps.
The noise detection method of the steering column according to the present invention is described above, and according to the detection method, in the process of collecting and analyzing a noise signal by using the acceleration sensor, quantization processing is performed on noise, that is, the magnitude of vibration amplitude or sound intensity measured by the acceleration sensor at the noise position is compared. Therefore, compared with the traditional mode of judging by manual experience or detecting by using a mechanical stethoscope, the method has the advantages that the position of noise production and a noise piece are more easily and accurately determined, and the subsequent analysis is facilitated.
In addition, in the noise detection method of the steering column according to the present invention, the component search method based on the xiening method is adopted, in which a new sample and a noise material are exchanged and reassembled, and then detection, comparison, and analysis are performed without complete disassembly and reassembly as in the conventional method. Thus, the man-hour and labor for the detection process are saved.
Moreover, in the case of complete disassembly and reassembly as in the past, since some noises are sensitive to the assembly process, the mutual separation of parts may cause the noise to disappear, and it is difficult to find the source of the noise, which is difficult to reproduce, increasing the difficulty in detecting the noise.
Therefore, according to the noise detection method of the steering column, the noise source and the generation mechanism can be quickly and effectively detected aiming at the noise problems (such as friction noise, knocking noise, transient noise and the like) generated in the using process of most electric power steering columns.
While particular embodiments of the present invention have been described above, it will be understood by those skilled in the art that these are by way of illustration only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to the embodiments may be made by those skilled in the art without departing from the principle and spirit of the invention, and these changes and modifications are within the scope of the invention.
Claims (7)
1. A noise detection method for a steering column, characterized in that,
an acceleration sensor is arranged at a proper position on the upper surface of the test bench, noise signals collected by the acceleration sensor are subjected to time domain analysis and sample number statistics through noise signal analysis software, and finally the root cause of noise generation is found by combining a Xinning method, wherein the method comprises the following steps: (a) a step of confirming a noise generation position, (b) a step of confirming an influence degree of the assembly pair noise, (c) a step of performing component search, (d) a step of determining a most dominant factor influencing the noise, (e) a verification step.
2. The noise detection method of a steering column according to claim 1, characterized by comprising:
in the step (a), by changing the position for placing the acceleration sensor, different noise propagation paths are compared by using noise signal analysis software, or time domain signals and frequency domain signals are compared, and the position where the surface vibration of the steering column is most obvious is found out;
in the step (b), observing the degree of influence of the assembly on the noise by changing the assembly state of the noise piece at the determined position;
in the step (c), under the condition that the degree of influence of the assembly of the noise piece on the noise is small, measuring the amplitude of the acceleration at the same position of a new sample piece with the same model, and performing component search by using the new sample piece with obviously smaller amplitude and the noise piece;
in step (d), a problem-solving tree is established, and the most main factors influencing noise are determined;
in step (e), the source and mechanism of the noise problem is finally characterized by a proof test.
3. The steering column noise detection method according to claim 2,
in step (d), the most dominant factors affecting noise are determined by multivariate techniques and strategy maps.
4. The steering column noise detection method according to claim 2 or 3,
in step (d), the method further comprises the step of establishing a problem solving tree for the noise piece and finding out which sub-part of the noise piece the most main factors influencing the noise come from.
5. The steering column noise detection method according to claim 4,
and eliminating and confirming step by step according to the hierarchical structure of the problem solving tree, and finally obtaining the sub-parts generating the noise.
6. The steering column noise detection method according to claim 2,
and in the component search, exchanging the new sample piece and the noise piece, and detecting, comparing and analyzing after reassembly.
7. The steering column noise detection method according to claim 2,
the assembled state of the noise member is an installation moment of a certain component in the noise member.
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| CN201811613830.6A CN111380606A (en) | 2018-12-27 | 2018-12-27 | Noise detection method for steering column |
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| CN201811613830.6A CN111380606A (en) | 2018-12-27 | 2018-12-27 | Noise detection method for steering column |
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