Engine Acoustic Diagnostics Using Frequency-Band Process Detection
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Solution Overview
Problem
Existing engine monitoring systems lack real-time and accurate methods to assess process attributes and control engine operations based on acoustic signatures, leading to potential deviations and inefficiencies.
Innovation Solution
A system utilizing acoustic sensors to generate time-dependent data signals, processed by a computing device to transform into frequency-domain spectra, enabling the determination of process attributes and controlling engine components through correlation modules for real-time monitoring and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional engine monitoring systems are used, then the system structure is simple, but the measurement precision and real-time monitoring capability are insufficient
Solution Approach 1:
The patent replaces traditional mechanical monitoring systems with an acoustic field-based monitoring system. Acoustic sensors detect engine operating states through sound wave analysis, transforming mechanical parameter measurement into acoustic signal processing. This substitution enables real-time, high-precision monitoring of process attributes while maintaining relatively simple system architecture.
Solution Approach 2:
The patent transforms the monitoring approach by changing from direct mechanical parameter measurement to indirect acoustic parameter measurement. By analyzing acoustic signal parameters (frequency, amplitude, timbre) that correspond to different engine operating states, the system achieves high-precision process attribute assessment without complex mechanical sensors.
2Productivity
If acoustic signal processing is implemented, then real-time monitoring capability is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent implements a self-service monitoring system where the acoustic sensors and processing modules automatically detect, analyze, and interpret engine operating states without external intervention. The system self-calibrates and continuously processes acoustic signals to provide real-time feedback on process attributes, eliminating the need for manual measurement and reducing operational complexity.
Solution Approach 2:
The patent establishes a closed-loop feedback system where acoustic signals from the engine are continuously monitored, processed, and used to determine process attributes in real-time. The correlation between acoustic characteristics and engine states creates an automatic feedback mechanism that simplifies measurement by using naturally occurring acoustic signatures as direct indicators of operating conditions.
3Measurement precision
If frequency-domain spectrum analysis is used, then measurement precision is improved, but the use of energy increases
Solution Approach 1:
The patent extracts only the essential acoustic signal features required for process attribute determination through frequency-domain spectrum analysis. By identifying and focusing on specific frequency bands and spectral characteristics that directly correlate with engine operating states, the system achieves high measurement precision while minimizing unnecessary computational energy consumption.
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 real-time, accurate monitoring and control of engine operations, reducing deviations and improving efficiency by analyzing acoustic signatures to adjust process attributes and components as needed.
Implementation Method 1
at least one acoustic sensor configured to generate at least one time-dependent acoustic data signal indicative of an acoustic signal
Data Source
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AI summary
An example system includes at least one acoustic sensor configured to generate at least one time-dependent acoustic data signal indicative of an acoustic signal generated by an engine performing a process possessing a plurality of process attributes, and a computing device including an acoustic data signal processing module configured to receive the at least one time-dependent acoustic data signal, and transform the at least one time-dependent acoustic data signal to a frequency-domain spectrum, wherein each process attribute of the plurality of process attributes is associated with at least one respective frequency band, and a correlation module configured to determine a process attribute of the plurality of process attributes by identifying at least one characteristic of the frequency-domain spectrum.