Signal processing using a statistical algorithm for vibration measurement with a self-coupling effect sensor

2013 ◽  
Vol 96 (3) ◽  
pp. 9-16
Author(s):  
Tatsuya Ueno ◽  
Norio Tsuda ◽  
Jun Yamada
Keyword(s):  
Signal Processing ◽  
Coupling Effect ◽  
Vibration Measurement ◽  
Statistical Algorithm

Vibration Measurement and Fault Diagnosis System for Experimental Teaching

2013 ◽  
Vol 401-403 ◽  
pp. 1226-1229
Author(s):  
Xiao Yan Yang ◽  
You Gang Xiao ◽  
Jian Feng Huang
Keyword(s):  
Signal Processing ◽  
Frequency Domain ◽  
Virtual Instrument ◽  
Experimental System ◽  
Vibration Measurement ◽  
Diagnosis System ◽  
Time Frequency ◽  
Experimental Teaching ◽  
Equipment State ◽  
Signal Processing Methods

Based on LabVIEW, vibration measurement and diagnosis system of equipment was developed for experimental teaching. On the platform, vibration signals from running equipment can be sampled, displayed, stored, and analyzed in time domain, frequency domain and time-frequency domain. The advanced signal processing technology such as power spectrum analysis, cepstrum analysis, demodulation analysis can also be executed. Using pattern recognition technology, the processed signals can be integrated for intelligent diagnosis of equipment state. The experimental system is helpful for students to learn signal processing methods, and to design virtual instrument.

scholarly journals Methods of measuring crankshaft speed in mechatronics

2018 ◽  
Vol 19 (9) ◽  
pp. 105-107
Author(s):  
Monika Andrych-Zalewska ◽  
Radosław Włostowski ◽  
Radosław Wróbel
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Rotational Speed ◽  
Can Bus ◽  
Digital Signal ◽  
Input Function ◽  
Diagnostic Information ◽  
New Method ◽  
Vibration Measurement

The article discusses methods of measuring rotational speed. Classical methods as well as a new method using vibration measurement as the input function in the process of obtaining the result of the crankshaft rotational speed were presented. A classic diagnostic path, as well as digital signal processing, is required to obtain the correct diagnostic INFORMATION. The work also includes information on the CAN bus as well as the EOBD system.

scholarly journals A 69-dB SNR 89-μW AGC for Multifrequency Signal Processing Based on Peak-Statistical Algorithm and Judgment Logic

VLSI Design ◽  
2016 ◽  
Vol 2016 ◽  
pp. 1-7
Author(s):  
Lan Dai ◽  
Chengying Chen
Keyword(s):  
Signal Processing ◽  
Statistical Data ◽  
Signal To Noise Ratio ◽  
Harmonic Distortion ◽  
Control Loop ◽  
Signal To Noise ◽  
Power Circuit ◽  
Amplitude Change ◽  
Statistical Algorithm ◽  
Multifrequency Signal

A novel peak-statistical algorithm and judgment logic (PSJ) for multifrequency signal application of Autogain Control Loop (AGC) in hearing aid SoC is proposed in this paper. Under a condition of multifrequency signal, it tracks the amplitude change and makes statistical data of them. Finally, the judgment is decided and the circuit gain is controlled precisely. The AGC circuit is implemented with 0.13 μm 1P8M CMOS mixed-signal technology. Meanwhile, the low-power circuit topology and noise-optimizing technique are adopted to improve the signal-to-noise ratio (SNR) of our circuit. Under 1 V voltage supply, the peak SNR achieves 69.2 dB and total harmonic distortion (THD) is 65.3 dB with 89 μW power consumption.

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