Disk Gang Shaft Bend Detection Using Multi-Point Sensor Data
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Solution Overview
Problem
Bent shafts in disk gang assemblies of agricultural implements can lead to inconsistent tillage quality, increased resistance, and potential bearing failures, making it difficult for operators to detect shaft bending during operation.
Innovation Solution
A system comprising sensors and a computing system that monitors shaft-related parameters at multiple locations along the shaft, using spectral analysis to identify when the shaft is bent based on load magnitude and phase angle differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are installed at different locations along the shaft to enable detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The shaft is divided into multiple monitoring sections with sensors placed at specific locations (e.g., near bearings, at mid-point) to detect bending at different segments. This segmentation allows precise localization of bend position and magnitude while distributing the measurement function across multiple simple sensor points rather than requiring a single complex measurement system.
Solution Approach 2:
The patent introduces a controller as an intermediary component that receives signals from multiple sensors and processes them to determine shaft bending conditions. This intermediary simplifies the overall system architecture by centralizing the complex signal processing and decision-making logic in a dedicated controller rather than requiring each sensor to independently analyze all parameters.
2Reliability
If real-time monitoring of shaft parameters is implemented, then reliability is improved, but use of energy increases
Solution Approach 1:
Instead of continuous monitoring, the system employs periodic sampling of shaft parameters at specific intervals or under specific conditions (e.g., when load thresholds are exceeded). This periodic action reduces energy consumption compared to continuous monitoring while maintaining sufficient reliability to detect bending events that affect tillage quality.
Solution Approach 2:
The monitoring system leverages existing operational parameters of the shaft (such as load variations, rotational speed fluctuations) that are already present during normal operation. By detecting bending through these naturally occurring parameter variations rather than requiring active energy-intensive sensors, the system achieves reliable monitoring with minimal additional energy consumption.
Data Source
AI summary
A system for detecting bent shafts of disk gang assemblies of an agricultural implement includes a disk gang assembly having a shaft, at least one bearing assembly rotatably supporting the shaft for rotation about a rotational axis, and a plurality of disks supported on the shaft for rotation about the rotational axis. The system further includes sensors associated with the disk gang assembly and configured to generate data indicative of a shaft-related parameter at two or more locations along the shaft. The system additionally includes a computing system configured to receive the data generated by each of the plurality of sensors and identify when the shaft is bent based at least in part on the data generated by each of the plurality of sensors.


