Structure Noise Source Tracking with Vibration Sensor Arrays
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for identifying the location of noise sources in structures, such as vehicles, are subjective and lack quantitative evaluation, leading to inefficiencies in diagnosing and addressing Buzz, Squeak, Rattle (BSR) noise issues.
Innovation Solution
A method and apparatus using multiple vibration sensing units, such as accelerometers, to sense and analyze vibration intensity, trigger events based on threshold levels, and calculate arrival order and amplitude to pinpoint noise sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a subjective evaluation method by experts is used to identify noise sources, then the method is simple to implement, but the measurement precision and objectivity of noise source identification deteriorates
Solution Approach 1:
The patent replaces the mechanical/expert evaluation system with an automated acoustic detection system using microphones and signal processing algorithms. The system objectively measures noise parameters (intensity, frequency, location) and automatically identifies noise sources without requiring expert subjective judgment, thereby improving measurement precision while maintaining ease of operation through automated processing.
Solution Approach 2:
The patent introduces an intermediary computational system that processes acoustic signals between the noise source and the final identification result. This intermediary system uses algorithms to analyze microphone data, calculate noise source locations, and generate objective evaluations, bridging the gap between simple data collection and precise noise source identification.
2Measurement precision
If multiple vibration sensing units are deployed to improve noise source location accuracy, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent divides the acoustic measurement task into segments by deploying multiple microphones at different locations. Each microphone captures local acoustic information, and the system processes these segmented data sources independently before integrating them to determine the overall noise source location, thereby improving precision without proportionally increasing system complexity.
Solution Approach 2:
The patent creates a universal noise detection system where multiple microphones serve the same function (acoustic signal capture) but at different spatial locations. The same signal processing algorithms and analysis methods are applied to data from all microphones, allowing the system to handle multiple data sources uniformly and determine noise source locations efficiently without requiring complex specialized processing for each sensor.
3Productivity
If automated signal processing algorithms are used to analyze vibration data, then the productivity of noise identification improves, but the device complexity increases
Solution Approach 1:
The patent implements a self-service automated system where the noise identification process performs itself without human intervention. The algorithm automatically processes vibration data from sensors, identifies noise sources, and generates results. This self-service capability dramatically improves productivity by eliminating manual analysis time, while the complexity is contained within the automated processing system rather than requiring complex human expert systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables objective and efficient identification of noise sources, allowing non-experts to recognize their locations accurately, improving the diagnosis and resolution of BSR noise.
Implementation Method 1
a vibration sensing step for sensing a vibration of a structure
Data Source
Figure 1~2a
Figure 2b
Figure 2c
AI summary
The present invention relates to a noise tracking and processing method using a plurality of vibration sensing units, the method comprising: a vibration sensing step for sensing the vibration of a structure; a data acquisition step for acquiring data about the intensity of the vibration, by receiving an input of the sensed vibration as a signal about the intensity of the vibration; a triggering step for triggering an instance in which the signal level of the acquired data about the intensity of the vibration exceeds a certain threshold; and an arrival order and maximum amplitude calculation step for calculating an arrival order by making the trigger time be an arrival time, and for calculating the maximum amplitude of the signal level of the data about the intensity of the vibration.