EMI Cause Identification Using Filtered Frequency Spectrum Markers
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Solution Overview
Problem
Existing methods for identifying the cause of electromagnetic interference in electrically operated devices are complex and costly, requiring specialized expertise, often leading to unnecessary component replacements and high maintenance costs.
Innovation Solution
A system and method utilizing software and hardware components, including an evaluation filter, marker determination, and fault identification devices, to analyze electromagnetic frequency spectra through high-pass, band-pass, and low-pass filtering, determining marker characteristic values via logarithmic addition, and comparing these with reference values to identify interference causes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex measurement methods are used to identify electromagnetic interference causes, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts only the essential information needed for interference identification by using predefined evaluation criteria that focus on specific frequency ranges and signal characteristics. Instead of analyzing the complete complex electromagnetic spectrum, the system extracts relevant markers and compares them against reference values, thereby simplifying the measurement process while maintaining identification accuracy.
Solution Approach 2:
The patent employs cost-effective measurement approaches using standard evaluation criteria and reference databases that can be implemented with relatively simple equipment. The method uses disposable or easily replaceable reference data sets that can be updated without requiring complex hardware changes, making the system more affordable and accessible.
2Measurement precision
If specialized expertise is required for measurement evaluation, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements self-service through automated evaluation processes that perform measurements, analyze data, and generate interference cause identifications without requiring expert intervention. The system automatically compares measured values against reference criteria and provides ready-to-use results, enabling untrained personnel to operate the system effectively while maintaining high measurement precision.
Solution Approach 2:
The patent replaces manual expert analysis with automated computational methods. Instead of relying on specialists to interpret complex electromagnetic measurements, the system uses algorithmic processing to evaluate signals against predefined criteria, substituting human expertise with automated systems that are both accurate and easy to operate.
3Reliability
If components are replaced at closely defined intervals to prevent failure, then reliability is improved, but loss of time and cost increase
Solution Approach 1:
The patent enables preliminary identification of interference causes and potential component failures before they actually occur. By detecting early signs of electromagnetic interference and comparing them against reference criteria, the system allows for proactive maintenance planning, scheduling repairs during convenient times rather than experiencing unexpected failures that cause unplanned downtime.
Solution Approach 2:
The patent transitions from static, fixed-interval maintenance schedules to dynamic, condition-based maintenance. Instead of replacing components at predetermined intervals regardless of their actual state, the system continuously monitors electromagnetic signals and adjusts maintenance timing based on actual component condition, thereby reducing unnecessary maintenance while preventing failures.
Data Source
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AI summary
The present invention relates to a system 1 and a method 1000 for identifying a cause of electromagnetic interference in an electrically operated device. The system 1 comprises an evaluation filter device configured to generate at least one filtered frequency spectrum 102, 104, 106 based on an electromagnetic frequency spectrum 100. Furthermore, the system comprises a marker determination device 40 that determines a marker characteristic value for the filtered frequency spectrum, wherein the marker characteristic value PE is a measure of the energy content of the filtered electromagnetic frequency spectrum. A disturbance identification device compares the at least one determined marker characteristic value PE with an associated reference marker characteristic value PEref and identifies a cause of electromagnetic interference based on a comparison result.