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

VSEngineering 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

Engineering Contradiction:
Improveshaft bending detection precisionVSAvoidsensor system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

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.

Inventive Principle:
Principle #1Segmentation

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.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If real-time monitoring of shaft parameters is implemented, then reliability is improved, but use of energy increases

Engineering Contradiction:
Improvetillage operation reliabilityVSAvoidenergy consumption of monitoring system
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

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.

Inventive Principle:
Principle #19Periodic action

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.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250133980A1System and method for detecting bent shafts of disk gang assemblies of an agricultural implement
Publication Date: 2025.05.01 CNH INDUSTRIAL AMERICA LLC
  • US20250133980A1 patent drawing
  • US20250133980A1 patent drawing
  • US20250133980A1 patent drawing

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.