Utterance and Breath Detection Using Acceleration Sensor in Underwater Breathing Equipment

Green and sustainable power supply for sensors in pavement monitoring system has attracted attentions of civil engineers recently. In this paper, the piezoelectric energy harvesting technology is used to provide the power for the acceleration sensor and Radio Frequency (RF) communication. The developed piezoelectric bimorph cantilever beam is used for collecting the vibrational energy. The energy collection circuit is used to charge the battery, where the power can achieve 1.68 mW and can meet the power need of acceleration sensor for data collection and transmission in one operation cycle, that is, 32.8 seconds. Based on the piezoelectric-cantilever-beam powered sensor, the preliminary study on the IoT-based pavement monitoring platform is suggested, which provides a new applicable approach for civil infrastructure health monitoring.

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Application of Practical Observer to Semi-Active Suspensions

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.482454 ◽

1998 ◽

Vol 122 (2) ◽

pp. 284-289 ◽

Cited By ~ 13

Author(s):

H. Nakai ◽

S. Oosaku ◽

Y. Motozono

Keyword(s):

Ride Comfort ◽

Difficult Problem ◽

Nonlinear Observer ◽

Vertical Acceleration ◽

Acceleration Sensor ◽

Active Suspensions ◽

Linear Observer ◽

Gain Scheduled

This paper presents the development of gain-scheduled observers for semi-active suspensions. The states of the semi-active suspensions must be accurately obtained because the accuracy directly affects system performances such as ride comfort. Nonlinearity in the absorber of the semi-active suspensions is a difficult problem for estimating the accurate states using conventional linear observer theories. To solve this problem, we have designed a new gain-scheduled observer by introducing two improvements. The validity of this nonlinear observer was confirmed by simulations and experiments. The results indicate that the present observer can accurately estimate the suspension stroke velocity using the vertical acceleration sensor on the sprung mass. [S0022-0434(00)02302-9]

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Bistable force\acceleration sensor based on pull-in voltage monitoring

2016 IEEE International Symposium on Inertial Sensors and Systems ◽

10.1109/isiss.2016.7435557 ◽

2016 ◽

Author(s):

Erez B. Benjamin ◽

Stella Lullinsky ◽

Slava Krylov

Keyword(s):

Acceleration Sensor

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Identification of Static Unbalance Wheel of Passenger Car Carried out on a Road

Solid State Phenomena ◽

10.4028/www.scientific.net/ssp.214.48 ◽

2014 ◽

Vol 214 ◽

pp. 48-57 ◽

Cited By ~ 3

Author(s):

Krzysztof Prażnowski ◽

Sebastian Brol ◽

Andrzej Augustynowicz

Keyword(s):

Fourier Transform ◽

Wavelet Transform ◽

Constant Velocity ◽

Fourier Transforms ◽

Static Condition ◽

Rotational Frequency ◽

Acceleration Sensor ◽

Short Time Fourier Transform ◽

Road Roughness ◽

Short Time

This paper presents a method of identification of non-homogeneity or static unbalance of the structure of a car wheel based on a simple road test. In particular a method the detection of single wheel unbalance is proposed which applies an acceleration sensor fixed on windscreen. It measures accelerations cause by wheel unbalance among other parameters. The location of the sensor is convenient for handling an autonomous device used for diagnostic purposes. Unfortunately, its mounting point is located away from wheels. Moreover, the unbalance forces created by wheels spin are dumped by suspension elements as well as the chassis itself. It indicates that unbalance acceleration will be weak in comparison to other signals coming from engine vibrations, road roughness and environmental effects. Therefore, the static unbalance detection in the standard way is considered problematic and difficult. The goal of the undertaken research is to select appropriate transformations and procedures in order to determine wheel unbalance in these conditions. In this investigation regular and short time Fourier transform were used as well as wavelet transform. It was found that the use of Fourier transforms is appropriate for static condition (constant velocity) but the results proves that the wavelet transform is more suitable for diagnostic purposes because of its ability of producing clearer output even if car is in the state of acceleration or deceleration. Moreover it was proved that in the acceleration spectrum of acceleration measured on the windscreen a significant peak can be found when car runs with an unbalanced wheel. Moreover its frequency depends on wheel rotational frequency. For that reason the diagnostic of single wheel unbalance can be made by applying this method.

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Fabrication of a 3D differential-capacitive acceleration sensor by UV-LIGA

Sensors and Actuators A Physical ◽

10.1016/s0924-4247(98)00377-x ◽

1999 ◽

Vol 77 (1) ◽

pp. 14-20 ◽

Cited By ~ 23

Author(s):

Wenmin Qu ◽

Christian Wenzel ◽

Gerald Gerlach

Keyword(s):

Acceleration Sensor

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