Particle Monitoring Sensor Data Processing for Hydraulic Contaminant Detection
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Solution Overview
Problem
Existing systems for detecting component failures in hydraulic systems, such as those in heavy machinery, often detect issues too late, leading to damage from contaminant particles and air bubbles, as they rely on threshold-based methods that do not differentiate between contaminants or compensate for aeration levels, resulting in inadequate prediction of filter and component lifespan.
Innovation Solution
A method and system that process raw voltage data from a particle monitoring sensor using an external data processing system to analyze and clean aeration and particle detection data, distinguishing between air bubbles and solid contaminants, and controlling machine operations based on real-time contaminant levels, employing exponential weighted moving averages and thresholds to ensure accurate data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If threshold-based failure detection circuits are used to monitor pressure differential, then the system structure is simple, but the detection timing is delayed until after failure occurs
Solution Approach 1:
The patent applies preliminary action by continuously monitoring particle counts in the hydraulic fluid before catastrophic failure occurs. The system detects trends in particle contamination levels and generates warnings in advance of component failure, enabling preventive maintenance before damage spreads to other components.
Solution Approach 2:
The system provides beforehand cushioning by detecting contaminant buildup trends and issuing early warnings that allow operators to replace filters or address issues before they cause catastrophic component failure. This cushioning approach prevents the harmful effects of late detection by preparing maintenance actions in advance.
2Ease of operation
If pressure differential monitoring is used, then the system is easy to operate, but measurement precision is insufficient to detect early contaminant buildup
Solution Approach 1:
The patent replaces the mechanical pressure differential monitoring system with an optical particle counting system. Instead of measuring pressure changes across a filter, the system uses light scattering principles to directly count and size particles in the hydraulic fluid, providing much higher measurement precision for early contaminant detection while maintaining ease of operation through automated electronic monitoring.
Solution Approach 2:
The system changes the monitoring parameter from pressure differential to particle count concentration. By measuring the actual particle population and size distribution in the fluid rather than indirect pressure changes, the system achieves superior measurement precision for detecting early stages of contaminant buildup before they affect system pressure.
3Device complexity
If aeration detection is not differentiated from particle detection, then the sensor structure is simple, but measurement precision is degraded due to air bubble interference
Solution Approach 1:
The patent applies segmentation by dividing the detection function into separate specialized sensors: one for particle detection and another for aeration detection. Each sensor is optimized for its specific function, allowing the system to accurately distinguish between solid particles and air bubbles without cross-interference, thereby maintaining measurement precision while managing device complexity through functional specialization.
Solution Approach 2:
The system uses an intermediary processing unit that receives signals from both particle and aeration sensors and differentiates between the two types of contaminants. This intermediary component analyzes the characteristics of detected objects and selectively processes particle data while compensating for or excluding aeration effects, enabling accurate particle measurement even in aerated hydraulic fluid.
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 early detection of contaminant trends, reducing the risk of component failure and maintaining machine productivity by providing real-time information on contaminant levels, thereby preventing damage and scheduling maintenance before catastrophic failures occur.
Implementation Method 1
an analog integrator that sums areas of shadows cast by contaminants in the fluid passing through a passageway when a light emitting diode (LED) is used to illuminate the fluid in the passageway
Implementation Method 2
a plurality of photodiodes used to generate voltage signals indicative of the area of each shadow
Data Source
AI summary
Data relating to an amount of contaminant in a fluid is obtained from a contaminant detection device. Aeration detection raw voltage data output and particle detection raw voltage data output from the contaminate detection device are received at an external data processing system separate and independent from the contaminate detection device. The aeration detection raw voltage data output and particle detection raw voltage data output are analyzed and cleaned to determine real time information on the amount of air bubbles and solid contaminate particles in the fluid, and then supplied to an onboard monitoring and controlling module of a machine for controlling one or more operations onboard the machine based on the determined amount of solid contaminate particles.