scholarly journals Electric Motor Noise for Small Quadcopters: Part 1 – Acoustic Measurements

2018 ◽  
Author(s):  
Dennis L. Huff ◽  
Brenda S. Henderson
Keyword(s):  
Electric Motor ◽  
Acoustic Measurements ◽  
Motor Noise

Surface Vibration Measurement and Analysis for UAM/UAS Electric Motor Noise

2021 ◽  
Author(s):  
Jordan D. Cluts ◽  
Dennis L. Huff ◽  
Brenda S. Henderson ◽  
Charles Ruggeri
Keyword(s):  
Electric Motor ◽  
Vibration Measurement ◽  
Surface Vibration ◽  
Motor Noise ◽  
Measurement And Analysis

Electric Motor Noise: Control of Noise at the Source

AIHAJ ◽  
1970 ◽  
Vol 31 (1) ◽  
pp. 16-21
Author(s):  
B. L. GOSS
Keyword(s):  
Electric Motor ◽  
Noise Control ◽  
Motor Noise

Electric Motor Noise in a Lightweight Steel Vehicle

2011 ◽  
Author(s):  
Juliette Florentin ◽  
Francois Durieux ◽  
Yukihisa Kuriyama ◽  
Toyoki Yamamoto
Keyword(s):  
Electric Motor ◽  
Lightweight Steel ◽  
Motor Noise

A Study on Identifying the Sources of Dominant Frequency Components of Electric Motor Noise

1989 ◽  
Vol 33 (1) ◽  
pp. 11 ◽  
Author(s):  
Chen Xinzhao ◽  
Li Dengxiao ◽  
Chen Jian ◽  
Liu Zhengshi
Keyword(s):  
Electric Motor ◽  
Dominant Frequency ◽  
Motor Noise ◽  
Frequency Components

Evaluation of Acoustic Analyses of Voice in Nonoptimized Conditions

2020 ◽  
Vol 63 (12) ◽  
pp. 3991-3999
Author(s):  
Benjamin van der Woerd ◽  
Min Wu ◽  
Vijay Parsa ◽  
Philip C. Doyle ◽  
Kevin Fung
Keyword(s):  
Repeated Measures ◽  
Voice Quality ◽  
Data Sets ◽  
Acoustic Measurements ◽  
Sample Collection ◽  
Experimental Conditions ◽  
Environment Analysis ◽  
Acoustic Measures ◽  
Recording Conditions ◽  
Cepstral Peak Prominence

Objectives This study aimed to evaluate the fidelity and accuracy of a smartphone microphone and recording environment on acoustic measurements of voice. Method A prospective cohort proof-of-concept study. Two sets of prerecorded samples (a) sustained vowels (/a/) and (b) Rainbow Passage sentence were played for recording via the internal iPhone microphone and the Blue Yeti USB microphone in two recording environments: a sound-treated booth and quiet office setting. Recordings were presented using a calibrated mannequin speaker with a fixed signal intensity (69 dBA), at a fixed distance (15 in.). Each set of recordings (iPhone—audio booth, Blue Yeti—audio booth, iPhone—office, and Blue Yeti—office), was time-windowed to ensure the same signal was evaluated for each condition. Acoustic measures of voice including fundamental frequency ( f o ), jitter, shimmer, harmonic-to-noise ratio (HNR), and cepstral peak prominence (CPP), were generated using a widely used analysis program (Praat Version 6.0.50). The data gathered were compared using a repeated measures analysis of variance. Two separate data sets were used. The set of vowel samples included both pathologic ( n = 10) and normal ( n = 10), male ( n = 5) and female ( n = 15) speakers. The set of sentence stimuli ranged in perceived voice quality from normal to severely disordered with an equal number of male ( n = 12) and female ( n = 12) speakers evaluated. Results The vowel analyses indicated that the jitter, shimmer, HNR, and CPP were significantly different based on microphone choice and shimmer, HNR, and CPP were significantly different based on the recording environment. Analysis of sentences revealed a statistically significant impact of recording environment and microphone type on HNR and CPP. While statistically significant, the differences across the experimental conditions for a subset of the acoustic measures (viz., jitter and CPP) have shown differences that fell within their respective normative ranges. Conclusions Both microphone and recording setting resulted in significant differences across several acoustic measurements. However, a subset of the acoustic measures that were statistically significant across the recording conditions showed small overall differences that are unlikely to have clinical significance in interpretation. For these acoustic measures, the present data suggest that, although a sound-treated setting is ideal for voice sample collection, a smartphone microphone can capture acceptable recordings for acoustic signal analysis.

Small Electric Motor for Amateurs

1891 ◽  
Vol 31 (783supp) ◽  
pp. 12510-12511
Author(s):  
George M. Hopkins
Keyword(s):  
Electric Motor

An Interesting Static Electric Motor

1913 ◽  
Vol 108 (1) ◽  
pp. 11-11
Author(s):  
H. B. Dailey
Keyword(s):  
Electric Motor
Sign in / Sign up

Export Citation Format

Share Document