Engine Belt Life Diagnosis Using Operation Point Frequency
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Solution Overview
Problem
Existing apparatuses for diagnosing remaining belt life face inaccuracies due to errors between estimated and actual strain amounts, making it difficult to accurately determine the remaining life of belts driven by engines.
Innovation Solution
The apparatus diagnoses remaining belt life based on the frequency distribution of engine speed and load factor or fuel injection rate, using determination frequency distributions to set a deterioration degree and provide more accurate diagnoses, particularly identifying resonance areas and idle operations as factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the amount of strain is estimated using an elastic analysis program based on a finite element model, then the remaining life of the belt can be diagnosed, but the error between the estimated strain amount and the actual strain amount becomes greater, making accurate diagnosis difficult
Solution Approach 1:
The patent replaces the mechanical/physical strain estimation approach (elastic analysis program based on finite element model) with a data-driven statistical approach (frequency distribution analysis of operation points). Instead of calculating strain through complex mechanical models, the invention uses operational data (engine speed, load factor, fuel injection rate) to identify resonance areas and idle operation patterns, thereby avoiding the accumulation of errors inherent in multi-step mechanical simulations while achieving accurate remaining life diagnosis.
2Measurement precision
If the frequency distribution of operation points is used to diagnose remaining belt life, then more accurate diagnosis is achieved, but the complexity of the diagnostic system increases due to the need to analyze multiple parameters (engine speed, load factor, fuel injection rate)
Solution Approach 1:
The patent employs a determination frequency distribution that serves multiple diagnostic functions simultaneously: it identifies resonance areas, detects idle operation patterns, and quantifies deterioration degrees all within a single analytical framework. This multi-functional approach consolidates what would otherwise require separate analysis systems, thereby achieving high diagnostic accuracy without proportionally increasing system complexity.
Solution Approach 2:
The invention transforms complex multi-parameter operational data (engine speed, load factor, fuel injection rate) into a simplified frequency distribution representation. By changing the parameters from raw operational values to frequency occurrence rates within defined ranges, the system reduces data dimensionality while preserving critical diagnostic information about resonance and idle operation patterns.
Data Source
AI summary
An apparatus for diagnosing remaining belt life is configured to diagnose the remaining life of a belt driven by an engine. The remaining life of the belt is diagnosed based on frequency distribution of an operation point that is made up of speed of the engine and a load factor of the engine or a fuel injection rate. This makes it possible to achieve accurate diagnosis of the remaining life of the belt.