Processing Accelerometer Output Signals for Vibration Analysis

Digital signal processing is applied to accelerometer output signals, where accelerometers serve as sensors for measuring vibration signals. By performing double integration on acceleration signals, displacement signals can be derived. In engineering and scientific fields, accelerometers are widely utilized in vibration analysis, structural monitoring, and motion measurement applications. Through digital signal processing of acceleration data, valuable information can be extracted including frequency analysis, peak detection, and spectral analysis, enabling comprehensive understanding of vibration characteristics and behaviors. The processing typically involves numerical integration algorithms (such as cumulative trapezoidal integration) with appropriate high-pass filtering to eliminate DC components and integration drift. Key implementation steps include signal conditioning, numerical integration using methods like Simpson's rule or cumulative sum approaches, and frequency domain analysis using FFT algorithms. Therefore, processing accelerometer output signals is crucial for better understanding and practical application of vibration data in industrial and research contexts.