System for testing vibration and noise performance of object through NVH (Noise Vibration and Harshness) parameters

By integrating adaptable fixtures, vibration and noise detection sensors and analyzers with AI diagnostics, the deep joint application of NVH parameters has been achieved, solving the problems of low detection accuracy, low efficiency and poor adaptability of existing equipment, and realizing efficient and accurate fault diagnosis and data management.

CN121740221APending Publication Date: 2026-03-27DONGGUAN DEXUN INTELLIGENT CONTROL EQUIPMENT TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-17
Publication Date
2026-03-27

AI Technical Summary

Technical Problem

Existing NVH testing equipment lacks in-depth integrated application of multi-parameter detection functions, and is deficient in environmental interference resistance, rapid detection, and intelligent diagnostic capabilities, thus failing to meet the needs of industrial batch testing and accurate fault location.

Method used

The device uses an adaptable fixture to fix the object under test, and combines a vibration and noise detection sensor, a vibration and noise test analyzer and computer analysis software. It uses AI deep learning algorithms to achieve synchronous acquisition and joint analysis of five key NVH parameters, and supports multi-format data archiving and intelligent fault diagnosis.

Benefits of technology

It improves the fault identification accuracy to 99%, avoids air conduction noise interference, reduces the detection time of a single product to 1 second, increases production capacity by 20%, has strong data traceability, is compatible with products of different sizes, and is easy to operate.

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Abstract

The invention provides a system for testing vibration and noise performance of an object through NVH parameters, and relates to the technical field of NVH testing. The system is composed of a power supply, an adaptive clamp, a vibration noise detection sensor, a vibration noise test analyzer, computer analysis software and a tested object, and is characterized in that joint detection of five NVH key parameters including kurtosis, skewness, margin, peak-to-average ratio and pulse factor is integrated, an AI deep learning abnormal sound recognition algorithm is carried, a bone conduction contact type signal acquisition technology is adopted, and a bone conduction signal is acquired. And environmental noise interference is avoided. The system carries out full-process automatic testing through parameter self-adaptive setting, multi-channel synchronous acquisition, key parameter conjoint analysis, AI fault diagnosis and data tracing and archiving. The system solves the problems that a traditional testing environment is large in interference, depends on manpower, is low in detection efficiency and is disordered in data management, has the advantages of rapid detection, accurate diagnosis and convenient tracing, and is adaptive to production line batch detection and laboratory accurate analysis scenes.
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Description

Technical Field

[0001] This invention relates to the field of NVH testing technology, specifically to a system for testing the vibration and noise performance of objects through NVH parameters. It is applicable to factory testing, performance optimization, and troubleshooting of various mechanical products such as motors, gearboxes, reducers, and robot joints. Background Technology

[0002] Currently, vibration and noise performance testing of mechanical products largely relies on traditional single-parameter testing equipment or subjective human judgment, which presents numerous technical challenges: Severe environmental interference: Traditional air conduction sampling is easily affected by background noise, resulting in poor accuracy of test results; The detection parameters are limited: they often only focus on vibration acceleration or noise sound pressure level, ignoring key characteristic parameters such as kurtosis and skewness, resulting in low accuracy in fault identification. Reliance on professional personnel: The identification of abnormal sounds and the location of faults require experienced technicians, which are prone to human error and difficult to standardize; Low testing efficiency: Traditional testing processes are cumbersome, with testing time for a single product exceeding 30 seconds, which cannot keep up with the high-speed pace of the production line; Disorganized data management: Test data is mostly stored locally in a scattered manner, lacking a unified traceability channel, which is not conducive to quality control and problem review; Limited adaptability: The fixture has a single fixing method, which makes it difficult to meet the testing needs of test objects of different sizes and types.

[0003] While some existing NVH testing equipment has multi-parameter detection capabilities, it has not achieved in-depth joint application of key parameters and lacks the ability to resist environmental interference, rapid detection, and intelligent diagnosis, thus failing to meet the needs of industrial batch testing and accurate fault location.

[0004] Therefore, those skilled in the art have provided a system for testing the vibration and noise performance of an object using NVH parameters to address the problems mentioned in the background art. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a system for testing the vibration and noise performance of objects through NVH parameters. This system solves the problems that while existing NVH testing equipment may have some multi-parameter detection capabilities, it does not achieve in-depth joint application of key parameters and lacks the ability to resist environmental interference, rapid detection, and intelligent diagnosis, thus failing to meet the needs of industrial batch testing and accurate fault location.

[0006] To achieve the above objectives, the present invention provides the following technical solution: A system for testing the vibration and noise performance of an object using NVH parameters, comprising: The power supply, adapter fixture, vibration and noise detection sensor, vibration and noise test and analyzer, and computer analysis software are connected in sequence and logically coordinated. The object being tested is fixed to the adapter fixture; The core testing process of the system is as follows: Step 1: Equipment Deployment The test object is fixed by an adapter clamp, the vibration and noise detection sensor is attached to the shell of the test object, and the power supply provides power to the test object and the test system. Step 2: Parameter Configuration Test parameters are set using computer analysis software, including an adjustable sampling rate of 0.001~156.25kHz, a detection frequency band of 20Hz~20kHz, and the judgment thresholds for five key NVH parameters: kurtosis, skewness, margin, peak-to-average power ratio, and impulse factor. Step 3: Signal Acquisition The vibration and noise test analyzer synchronously acquires the vibration acceleration signal and noise sound pressure level signal of the tested object through sensors, with an acquisition time of 1 second. Step 4: Signal Processing The analyzer performs FFT transformation and filtering noise reduction on the original signal to extract the real-time values ​​of five key NVH parameters. Step 5: Analysis and Diagnosis Computer analysis software uses AI deep learning algorithms to combine five parameters for joint analysis, compares them with preset limit values, determines the vibration and noise performance level of the tested object, and locates the fault type, such as bearing wear or rotor imbalance. Step Six: Data Archiving It automatically stores test data, spectrum diagrams, and analysis results, and supports multi-dimensional retrieval and traceability by batch, model, and time.

[0007] Furthermore, the vibration and noise detection sensor adopts a bone conduction contact design, including a vibration acceleration sensor and a noise sensor, which are attached to the shell of the object being tested to collect signals, avoiding background noise interference caused by air conduction.

[0008] Furthermore, the vibration and noise test analyzer is a 4-channel synchronous acquisition device that supports synchronous processing of vibration and noise signals, with a sampling accuracy of ≤±0.1% and a dynamic range of ≥80dB, meeting the requirements for simultaneous detection at multiple measurement points.

[0009] Furthermore, the computer analysis software integrates an AI deep learning module, which, through training with a massive number of abnormal noise samples, can accurately identify fault characteristics such as abnormal gear meshing, bearing wear, and rotor imbalance, with an abnormal noise identification accuracy rate of ≥99%.

[0010] Furthermore, the threshold values ​​for the five key NVH parameters can be independently calibrated through comparative testing of good and defective products. The software supports any frequency band and sets limit values ​​in segments according to low frequency band 20-500Hz, mid frequency band 500-2000Hz, and high frequency band 2000-20KHz.

[0011] Furthermore, the adaptable fixture adopts an adjustable structure, which can be adapted to different sizes of test objects, such as micro motors, reducers, and gearboxes, by adjusting the clamping range and clamping force, without damaging the surface of the test object during the clamping process.

[0012] Furthermore, the computer analysis software supports exporting test data in multiple formats (such as Excel and TXT), automatically generates test reports including parameter values, spectrum graphs, performance levels, and fault diagnosis results, and the data storage adopts a distributed architecture to ensure data security and prevent data loss.

[0013] Furthermore, the power supply can be any power supply, and can be set as an adjustable DC power supply with an output voltage range of 12-24V. It supports adaptive adjustment of power supply parameters according to the rated voltage of the object under test, and has overcurrent and overvoltage protection functions.

[0014] This invention provides a system for testing the vibration and noise performance of an object using NVH parameters. It offers the following advantages: 1. This invention provides a system for testing the vibration and noise performance of objects through NVH parameters. It integrates five key parameters: kurtosis, skewness, margin, peak-to-average power ratio, and impulse factor. Through complementary parameter analysis, it significantly improves the accuracy of early fault identification and solves the problems of missed or false detection by single parameter detection. With a trained AI algorithm model, it can automatically identify complex abnormal noise features such as gear meshing abnormalities and bearing wear, eliminating the need for manual intervention and achieving an identification accuracy of ≥99%.

[0015] 2. This invention provides a system for testing the vibration and noise performance of an object through NVH parameters. The sensor adopts contact bone conduction technology to directly collect vibration and noise signals of the shell of the object under test, avoiding background noise interference from air conduction at the source, improving test accuracy by 30%. The vibration and noise test analyzer supports 4-channel synchronous acquisition, which can simultaneously acquire signals from multiple measurement points of the object under test, meeting the comprehensive testing needs of complex products, optimizing the signal acquisition and processing process, shortening the detection time of a single product to 1 second, adapting to the batch testing cycle of the production line, and increasing production capacity by 20%.

[0016] 3. This invention provides a system for testing the vibration and noise performance of objects through NVH parameters. Test data, spectrum diagrams, and diagnostic results are automatically archived. It supports multi-dimensional retrieval by batch, model, and time, enabling quality traceability and problem review. The clamps are adjustable in clamping range and force to adapt to different sizes and types of test objects, eliminating the need for frequent clamp changes and improving testing efficiency. The computer analysis software integrates functions such as parameter configuration, signal processing, data analysis, fault diagnosis, report generation, and data export, making it easy to operate without the need for additional auxiliary software. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the system components and connections of the present invention; Figure 2 This is the core testing flowchart of the present invention; Figure 3 This is the logic diagram for the joint analysis of the five major NVH parameters of this invention. Detailed Implementation

[0018] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present invention, and not all of the structures.

[0019] In the description of this invention, unless otherwise explicitly specified and limited, the terms "connected," "linked," and "fixed" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0020] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0021] In the description of this embodiment, the terms "upper," "lower," "right," etc., refer to the orientation or positional relationship shown in the accompanying drawings. They are used only for ease of description and simplification of operation, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention. In addition, the terms "first" and "second" are used only for distinction in description and have no special meaning.

[0022] The technical solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0023] like Figure 1-3 As shown, this embodiment of the invention provides a system for testing the vibration and noise performance of an object using NVH parameters, comprising: The power supply, adapter fixture, vibration and noise detection sensor, vibration and noise test and analyzer, and computer analysis software are connected in sequence and logically coordinated. The object being tested is fixed to the adapter fixture; The power supply can be any power supply and can be set as an adjustable DC power supply with an output voltage of 12-24V. It supports adaptive adaptation to the rated voltage of the object under test and has overcurrent and overvoltage protection to provide stable power supply to the object under test (such as a vibration motor) and the test system. The adaptable clamp is an adjustable clamping structure with a clamping range of 5-20cm. It fixes the object to be measured through elastic clamping components to avoid clamping damage and is compatible with different objects to be measured, such as micro motors, reducers, and gearboxes. The vibration and noise detection sensor includes a vibration acceleration sensor and a noise sensor. It adopts a contact bone conduction design, fits the shell of the object being tested, and synchronously collects vibration acceleration signals (unit m / s²) and noise sound pressure level signals (unit dB). The vibration and noise test analyzer is a 4-channel synchronous acquisition device with an adjustable sampling rate of 0.001~156.25kHz and a dynamic range of ≥80dB. It performs FFT transformation, filtering and noise reduction, and parameter extraction (kurtosis, skewness, margin, peak-to-average power ratio, impulse factor) on the acquired raw signal. The computer analysis software integrates three core modules: ① Parameter configuration module: supports setting segment boundary values, adjusting sampling rate, etc.; ② Data analysis module: uses AI deep learning algorithms and five parameters for joint analysis to determine performance level; ③ Data management module: automatically archives test data and supports export in multiple formats and multi-dimensional retrieval. The tested objects include various mechanical products that require NVH performance testing, such as vibration motors, gearboxes, and reducers.

[0024] The core testing process of the system is as follows: Step 1: Equipment Deployment The object to be measured is fixed in the adapter fixture, and the sensor is attached to the key measuring points of the object to be measured (such as motor housing, gearbox end face). Step 2: Parameter Configuration The sampling rate (e.g., 128kHz for high-speed motors), detection frequency band, and five major parameter thresholds are set using computer analysis software, and the results are calibrated by comparing good and defective products.

[0025] Step 3: Synchronous Signal Acquisition The power supply is turned on to power the object under test. The vibration and noise test analyzer collects vibration and noise signals synchronously through sensors for 1 second to ensure that the entire working cycle of the object under test is covered.

[0026] Step 4: Signal Processing and Parameter Extraction The analyzer filters and reduces noise from the original signal to remove environmental interference, performs FFT transformation, and extracts real-time values ​​of five major parameters. It uses kurtosis to determine the pulse component, skewness to determine the signal symmetry, margin to determine the impulse purity, peak-to-average power ratio to determine the degree of fluctuation, and impulse factor to determine the proportion of pulse energy.

[0027] Step 5: AI Diagnosis and Performance Assessment The computer analysis software compares the extracted parameter values ​​with preset limit values, combines AI algorithms to identify abnormal noise characteristics, determines the vibration and noise performance level of the tested object as qualified / unqualified, and locates the fault type. For example, an increase in low-frequency kurtosis indicates rotor imbalance, and an increase in mid-frequency pulse factor indicates bearing wear.

[0028] Step Six: Data Archiving and Report Generation The system automatically stores test data, spectrum diagrams, and diagnostic results, generates standardized test reports, supports export in Excel and TXT formats, and allows for retrieval and traceability by batch, model, and other criteria.

[0029] Implementation Case 1: NVH Performance Testing of Vibration Motor ①System Configuration Power supply: Adjustable DC power supply, output voltage 12V, matching the rated voltage of the vibration motor under test; Adaptive clamp: Clamping range 8-15cm, the motor is fixed by elastic rubber clamping components to avoid damage to the housing; Vibration and noise detection sensors: 2 vibration acceleration sensors attached to both ends of the motor housing, 1 noise sensor attached to the top of the motor, with a sensitivity of 500mv / g; Vibration and noise test analyzer: 4 channels, sampling rate 128kHz, dynamic range 85dB; Computer analysis software: integrates an AI abnormal noise recognition model, presets thresholds for five major motor test parameters: kurtosis ≤ 4, impulse factor ≤ 8, margin ≥ 3, skewness ± 0.5, and peak-to-average ratio ≤ 5.

[0030] ②Testing process Step 1: Fix the 12V rated voltage vibration motor to the fixture, attach the sensor to the designated measuring point, and set the sampling rate to 128kHz and the detection frequency band to 20Hz~20kHz in the software. Step 2: Turn on the power, the motor runs, and the analyzer simultaneously collects 6 seconds of vibration and noise signals; Step 3: The analyzer processes the signal and extracts the following parameters: kurtosis 3.2, skewness 0.2, margin 4.5, peak-to-average ratio 3.8, and impulse factor 6.5, all within the preset thresholds; Step 4: The AI ​​algorithm analysis showed no abnormal noises, indicating that the motor's NVH performance was qualified and there was no fault. Step 5: The system automatically stores the data and spectrum, generates a test report, and supports export for traceability.

[0031] ③ Implementation Results Test accuracy: In the absence of a soundproof enclosure, the test results deviate from those in the standard soundproof enclosure environment by ≤2%; Inspection efficiency: 7 seconds per unit, meeting the batch inspection needs of the production line; Diagnostic accuracy: For motors simulating bearing wear faults, the pulse factor in the mid-frequency band rises to 12.3, and the system accurately determines the fault type with an accuracy rate of 100%.

[0032] Implementation Case 2: NVH Performance Testing of Gearbox ①System Configuration Same as in Example 1, the clamping range of the fixture is adjusted to 10-20cm, and the software is recalibrated to set the threshold values ​​of the reducer parameters: kurtosis ≤ 4.5 and pulse factor ≤ 9.

[0033] ②Testing process Similar to Example 1, the system automatically stores data and spectrum diagrams, generates test reports, and supports export and traceability.

[0034] ③Test Results: Successfully identified abnormal gear meshing in the reducer, reduced the mid-frequency margin to 2.1, increased the pulse factor to 10.5, completed the detection in 1 second, generated the report instantly, and the data can be traced by production batch.

[0035] The following points should be noted in this article: 1. The accompanying drawings of the embodiments disclosed herein only relate to the structures involved in the embodiments disclosed herein; other structures can be referred to in a general design.

[0036] 2. Where there is no conflict, the embodiments of this disclosure and the features in the embodiments can be combined with each other to obtain new embodiments.

[0037] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

Claims

1. A system for testing the vibration and noise performance of an object using NVH parameters, characterized in that, include: The power supply, adapter fixture, vibration and noise detection sensor, vibration and noise test and analyzer, and computer analysis software are connected in sequence and logically coordinated. The object being tested is fixed to the adapter fixture; The core testing process of the system is as follows: Step 1: Equipment Deployment The test object is fixed by an adapter clamp, the vibration and noise detection sensor is attached to the shell of the test object, and the power supply provides power to the test object and the test system. Step 2: Parameter Configuration Test parameters are set using computer analysis software, including an adjustable sampling rate of 0.001~156.25kHz, a detection frequency band of 20Hz~20kHz, and the judgment thresholds for five key NVH parameters: kurtosis, skewness, margin, peak-to-average power ratio, and impulse factor. Step 3: Signal Acquisition The vibration and noise test analyzer synchronously acquires the vibration acceleration signal and noise sound pressure level signal of the tested object through sensors, with an acquisition time of 1 second. Step 4: Signal Processing The analyzer performs FFT transformation and filtering noise reduction on the original signal to extract the real-time values ​​of five key NVH parameters. Step 5: Analysis and Diagnosis Computer analysis software uses AI deep learning algorithms to combine five parameters for joint analysis, compares them with preset limit values, determines the vibration and noise performance level of the tested object, and locates the fault type, such as bearing wear or rotor imbalance. Step Six: Data Archiving It automatically stores test data, spectrum diagrams, and analysis results, and supports multi-dimensional retrieval and traceability by batch, model, and time.

2. The system for testing the vibration and noise performance of an object using NVH parameters according to claim 1, characterized in that, The vibration and noise detection sensor adopts a bone conduction contact design, including a vibration acceleration sensor and a noise sensor, which are attached to the shell of the object being tested to collect signals, avoiding background noise interference caused by air conduction.

3. The system for testing the vibration and noise performance of an object using NVH parameters according to claim 1, characterized in that, The vibration and noise test analyzer is a 4-channel synchronous acquisition device that supports synchronous processing of vibration and noise signals, with a sampling accuracy of ≤±0.1% and a dynamic range of ≥80dB, meeting the requirements for simultaneous detection at multiple measurement points.

4. The system for testing the vibration and noise performance of an object using NVH parameters according to claim 1, characterized in that, The computer analysis software integrates an AI deep learning module. Through training with a massive number of abnormal noise samples, it can accurately identify fault characteristics such as abnormal gear meshing, bearing wear, and rotor imbalance, with an abnormal noise identification accuracy rate of ≥99%.

5. The system for testing the vibration and noise performance of an object using NVH parameters according to claim 1, characterized in that, The threshold values ​​for the five key NVH parameters can be independently calibrated through comparative testing of good and defective products. The software supports any frequency band and sets limit values ​​in segments according to low frequency band 20-500Hz, mid frequency band 500-2000Hz, and high frequency band 2000-20KHz.

6. The system for testing the vibration and noise performance of an object using NVH parameters according to claim 1, characterized in that, The adaptable fixture adopts an adjustable structure, which can be adapted to different sizes of test objects, such as micro motors, reducers and gearboxes, by adjusting the clamping range and clamping force, without damaging the surface of the test object during the clamping process.

7. A system for testing the vibration and noise performance of an object using NVH parameters according to claim 1, characterized in that: The computer analysis software supports exporting test data in multiple formats and automatically generates test reports, including parameter values, spectrum graphs, performance levels, and fault diagnosis results. The data storage adopts a distributed architecture to ensure data security and prevent data loss.

8. A system for testing the vibration and noise performance of an object using NVH parameters according to claim 1, characterized in that: The power supply can be any power supply, and can be set as an adjustable DC power supply with an output voltage range of 12-24V. It supports adaptive adjustment of power supply parameters according to the rated voltage of the object under test, and has overcurrent and overvoltage protection functions.