The Application of Dynamic Signal Analysis in Quality Control

Gear manufacturers in all fields of industry are under increasing pressure to deliver products of high accuracy and which generate ever lower levels of vibration and noise. Over the past decades, transmission error (TE) measurement has become more popular as a means of measurement for research and quality control. However, dedicated measurement systems have often proved incapable of measuring TE under operating conditions. This paper presents an overview of TE measurement techniques and their applications. In addition, an introduction to a versatile and portable method of measurement based on FFT analysis and demodulation is given. This method is easily implemented using current generation FFT analysers or signal analysis software, and is suitable for research, diagnostics, condition monitoring and quality control applications alike.

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FEATURES OF ANALYSIS OF MULTICHANNEL AUDIO SIGNALSFEATURES OF ANALYSIS OF MULTICHANNEL AUDIO SIGNALS

ГРААЛЬ НАУКИ ◽

10.36074/grail-of-science.02.04.2021.061 ◽

2021 ◽

pp. 302-305

Author(s):

Tetiana Martyniuk ◽

Maksym Mykytiuk ◽

Mykola Zaitsev

Keyword(s):

Quality Control ◽

Programming Language ◽

Signal Analysis ◽

Audio Signals ◽

Multichannel Audio ◽

Python Programming Language ◽

Optimal Balance ◽

Software And Hardware ◽

On the use of Vibration Signal Analysis for Industrial Quality Control: Part I

Lecture Notes in Mechanical Engineering - Advances in Condition Monitoring of Machinery in Non-Stationary Operations ◽

10.1007/978-3-642-39348-8_34 ◽

2013 ◽

pp. 399-406

Author(s):

Gianluca D’Elia ◽

Simone Delvecchio ◽

Marco Malagò ◽

Giorgio Dalpiaz

Keyword(s):

Quality Control ◽

Signal Analysis ◽

Vibration Signal ◽

Vibration Signal Analysis ◽

Control Part

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Accuracy of the dynamic signal analysis approach in respiratory mechanics during noninvasive pressure support ventilation: a bench study

Journal of International Medical Research ◽

10.1177/0300060521992184 ◽

2021 ◽

Vol 49 (2) ◽

pp. 030006052199218

Author(s):

Yuqing Chen ◽

Yueyang Yuan ◽

Hai Zhang ◽

Feng Li ◽

Xin Zhou

Keyword(s):

Pressure Support Ventilation ◽

Signal Analysis ◽

Airway Pressure ◽

Pressure Support ◽

Respiratory Mechanics ◽

Assisted Ventilation ◽

Support Ventilation ◽

Expiratory Resistance ◽

Ventilator Performance ◽

Dynamic Signal

Objective To evaluate the accuracy of respiratory mechanics using dynamic signal analysis during noninvasive pressure support ventilation (PSV). Methods A Respironics V60 ventilator was connected to an active lung simulator to model normal, restrictive, obstructive, and mixed obstructive and restrictive profiles. The PSV was adjusted to maintain tidal volumes (VT) that achieved 5.0, 7.0, and 10.0 mL/kg body weight, and the positive end-expiration pressure (PEEP) was set to 5 cmH2O. Ventilator performance was evaluated by measuring the flow, airway pressure, and volume. The system compliance (Crs) and airway resistance (inspiratory and expiratory resistance, Rinsp and Rexp, respectively) were calculated. Results Under active breathing conditions, the Crs was overestimated in the normal and restrictive models, and it decreased with an increasing pressure support (PS) level. The Rinsp calculated error was approximately 10% at 10.0 mL/kg of VT, and similar results were obtained for the calculated Rexp at 7.0 mL/kg of VT. Conclusion Using dynamic signal analysis, appropriate tidal volume was beneficial for Rrs, especially for estimating Rexp during assisted ventilation. The Crs measurement was also relatively accurate in obstructive conditions.

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