Rotating Machine Vibration Detection for Saw Belt Weld Position
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies fail to effectively locate the welding position of accessories in rotating machines, such as saw belts, necessitating manual visual inspection, which is inconvenient and limits subsequent applications.
Innovation Solution
A system and method for detecting a cyclic positioning point in rotating machines using a sensing module to obtain vibration data, processing it to generate time series data, calculating the number of cutting turns and modules, and determining the cyclic positioning point through signal-to-noise ratio calculations and matrix shifts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual visual inspection is used to locate welding position, then no additional detection equipment is needed, but the operation is inconvenient and time-consuming
Solution Approach 1:
The patent replaces manual visual inspection with an automated vibration-based detection system. The sensing module captures vibration data from the accessory, and signal processing algorithms automatically identify the welding position through spectral analysis, eliminating the need for manual search and significantly reducing time loss.
Solution Approach 2:
The system enables the accessory to self-identify its welding position through its own vibration characteristics. By analyzing the vibration data generated during normal operation, the system automatically locates the welding position without requiring external intervention or manual inspection.
2Adaptability or versatility
If no detection system is used, then the system structure remains simple, but subsequent applications like calculating distance between abnormal teeth and welding position become impossible
Solution Approach 1:
The detection system is designed with multi-functionality to support various subsequent applications. By accurately locating the welding position and providing precise vibration data, the system enables multiple applications including calculating distances between abnormal teeth and welding position, monitoring accessory health, and predicting maintenance needs.
Solution Approach 2:
The patent introduces vibration data as an intermediary that bridges the gap between the physical accessory and digital analysis. The sensing module converts physical vibration into measurable data, which then serves as a foundation for various computational applications including position calculation and anomaly detection.
3Measurement precision
If vibration data processing is performed to locate welding position, then automatic detection is achieved, but calculation complexity increases
Solution Approach 1:
The signal processing is divided into distinct segments: vibration data acquisition, spectral analysis to identify characteristic frequencies, and position calculation based on vibration patterns. This segmentation simplifies the overall complexity by breaking down the processing into manageable, standardized steps.
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
Automatically locates the welding position of saw belts without manual visual search, enabling subsequent applications like calculating the distance between abnormal saw teeth and the welding position.
Implementation Method 1
a sensing module configured for obtaining vibration data of an accessory of the rotating machine
Data Source
AI summary
A system and a method for detecting a cyclic positioning point in a rotating machine are provided. The system includes: a sensing module configured for obtaining vibration data of an accessory of the rotating machine; a data processing module configured for processing the vibration data to generate vibration time series data; a turn number calculation module configured for calculating the vibration time series data to obtain a number of cutting turns corresponding to the vibration time series data; a module number calculation module configured for calculating the vibration time series data according to the number of cutting turns to obtain a number of modules corresponding to the accessory; and a positioning point calculation module configured for performing calculation according to the number of modules and the vibration time series data to obtain the cyclic positioning point of the accessory.