Work Vehicle Rotating Machine Vibration Baseline Detection
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Solution Overview
Problem
It is challenging to detect early-stage abnormalities in rotating machine parts of work vehicles, such as initial peeling, as the generated vibration and noise are minimal, making it difficult to recognize issues before they lead to significant damage.
Innovation Solution
A work vehicle state detection system that includes a travel state detection device, vibration sensors, a data acquisition unit, a condition satisfaction determination unit, and an analysis unit, which acquires and analyzes vibration data to determine the state of the rotating machine by comparing it to normal vibration data, allowing for early detection of abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vibration sensors are used to detect abnormalities in rotating machine parts, then early detection capability is improved, but measurement precision deteriorates because the vibration signals at initial peeling stage are extremely small and difficult to distinguish from normal operation variations
Solution Approach 1:
The system performs preliminary action by collecting vibration data during normal operation and establishing baseline vibration patterns before abnormalities occur. This preliminary data collection and analysis enable the system to detect deviations from normal operation at very early stages, improving early detection capability while maintaining measurement precision through comparison against established baselines
Solution Approach 2:
The system implements continuous feedback by constantly monitoring vibration signals, comparing them against normal operation patterns, and providing real-time abnormality detection. The feedback mechanism includes analyzing vibration frequency spectra, comparing detected patterns against stored normal patterns, and notifying operators of potential issues before they progress to significant damage
Solution Approach 3:
The control device serves as an intermediary that processes raw vibration sensor data, filters out normal operation variations, and extracts meaningful abnormality indicators. This intermediary processing layer enables the system to distinguish between normal vibration fluctuations and early-stage abnormality signals, resolving the measurement precision issue while maintaining early detection capability
2Measurement precision
If continuous monitoring of vibration data is performed to detect early abnormalities, then detection accuracy is improved, but device complexity increases due to the need for data acquisition, storage, and analysis systems
Solution Approach 1:
The control device performs multiple functions including data acquisition from vibration sensors, data storage in memory, vibration pattern analysis, and abnormality detection notifications. By consolidating these functions into a single control device, the system achieves high detection accuracy without proportionally increasing overall system complexity
Solution Approach 2:
The system implements self-service by automatically collecting vibration data, analyzing patterns, and generating abnormality notifications without requiring external monitoring equipment or manual inspection. The control device uses the work vehicle's existing computational resources and storage capacity to perform all monitoring functions, avoiding the need for separate complex monitoring hardware
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
This system enables accurate recognition of the rotating machine's state, allowing for timely intervention and reducing maintenance costs by detecting abnormalities before they cause extensive damage.
Implementation Method 1
a vibration sensor provided in the rotating machine... acquires vibration detection data indicating a detection value of the vibration sensor
Data Source
AI summary
A work vehicle state detection system includes: a travel state detector provided in a work vehicle having a rotating machine and detecting a travel state of the work vehicle; a vibration sensor in the rotating machine; a travel state data acquisition unit acquiring travel state data indicating the travel state; a condition satisfaction determination unit determining whether the travel state satisfies a condition; a vibration detection data acquisition unit acquiring vibration detection data indicating a detection value of the vibration sensor when the travel state satisfies the condition; a normal vibration data storage storing normal vibration data indicating a detection value of the vibration sensor when the rotating machine is normal and the travel state satisfies the condition; and an analysis unit that, based on the vibration detection data and the normal vibration data, analyzes a state of the rotating machine when the vibration detection data is acquired.