Status Monitoring Signal Clipping Detection in Spectral Analysis
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Solution Overview
Problem
Conventional methods for monitoring the status of apparatuses face challenges due to signal saturation and clipping, which result in additional interfering frequencies in the frequency spectrum, making it difficult to accurately diagnose malfunctions.
Innovation Solution
A method that detects and quantifies signal clipping by converting analog signals into digital signals and applying spectral analysis, allowing for the assessment of signal quality and the identification of known damage frequencies despite overcontrol portions in the frequency spectrum.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the measuring range is increased to accommodate high vibration amplitudes, then signal saturation is reduced, but the device complexity and cost increase
Solution Approach 1:
The patent divides the frequency spectrum into multiple segments or bands, allowing selective analysis of different frequency ranges. This segmentation enables the system to focus on specific damage-related frequencies without requiring the entire measuring system to handle the full spectrum at high fidelity, effectively reducing the complexity burden while maintaining reliability for critical measurements
Solution Approach 2:
The patent changes the parameter of frequency resolution by applying different window functions and Fourier transformation parameters to different signal conditions. By adjusting spectral analysis parameters dynamically based on signal characteristics, the system maintains measurement reliability without requiring hardware expansion across all possible operating conditions
2Measurement precision
If spectral analysis is applied to detect damage frequencies, then malfunction identification is improved, but additional interfering frequencies from clipped signals complicate the analysis
Solution Approach 1:
The patent applies preliminary signal processing actions before spectral analysis, including windowing functions and pre-filtering, to prepare the signal in advance. By preprocessing the signal to reduce clipping artifacts and enhance relevant frequency components before the main spectral analysis, the system improves damage frequency identification while minimizing the impact of interfering frequencies
Solution Approach 2:
The patent converts the harmful clipping effect into a beneficial diagnostic indicator by analyzing the specific patterns of interference frequencies generated by clipping. The system uses the characteristic spectral signatures of clipped signals to actually detect and flag measurement issues, turning the harmful artifact into a useful diagnostic tool that provides additional information about signal quality and potential measurement problems
3Device complexity
If the measuring input range is designed for normal operating conditions, then device simplicity is maintained, but signal saturation occurs during abnormal conditions
Solution Approach 1:
The patent implements dynamic signal processing that adapts to changing signal conditions in real-time. By using dynamic threshold detection and adaptive spectral analysis that responds to abnormal signal levels, the system maintains simplicity in the hardware design while achieving reliability under abnormal conditions through software-based dynamic adaptation rather than static hardware expansion
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
The method effectively identifies partial overcontrol of status monitoring sensor signals, providing a measure of signal quality and enabling accurate identification of damage frequencies, even in the presence of clipping-induced interference.
Implementation Method 1
at scanning times within a measuring interval the analog signal is converted into a digital signal using an analog-digital converter
Implementation Method 2
a spectral analysis is then applied to the digital signal to determine which frequency portions the analog signal comprises in a frequency spectrum
Data Source
AI summary
A method for monitoring the status of an apparatus, wherein an analog signal is converted into a digital signal with an analog-digital converter operating within a measuring range, signal portions of the analog signal extending beyond the measuring range are cut in the digital signal, a spectral analysis is applied to the digital signal to determine which frequency potions the analog signal possesses in a frequency spectrum and conclude a malfunction of the apparatus when the analog signal exceeds the measuring range, where when the analog signal extending beyond the measuring range is in the digital signal, this event is detected and determined as a number, where a signal quality is provided which is used to assess whether known damage frequencies can still be identified from determined frequency portions of the frequency spectrum, although additional overcontrol portions in the frequency spectrum occur as a result of possibly cut signal portions.