scholarly journals Analisis Sistem Pengukuran Getaran Mems Accelerometer ADXL345

2019 ◽  
Vol 9 (02) ◽  
pp. 63-67
Author(s):  
Indra Feriadi ◽  
Fajar Aswin ◽  
M Iqbal Nugraha
Keyword(s):  
Measurement System ◽  
Low Cost ◽  
Measurement Data ◽  
Micro Electro Mechanical System ◽  
Vibration Measurement ◽  
Measurement Technology ◽  
Mems Accelerometer ◽  
Analysis Technique ◽  
Develop Approach ◽  
Mems Technology

Vibration measurement technology using conventional sensors such as piezoelectric (PZT) Accelerometer is still expensive. Currently, many low-cost vibration measuring devices have been developed by using Micro Electro Mechanical System (MEMS) technology. This study aims to analyze the results of vibration measurement system MEMS Accelerometer ADXL345 with PZT Accelerometer. This research applies design and develop approach with comparative data analysis technique, that is comparing data of result of measurement of MEMS Accelerometer ADXL345 to PZT Accelerometer Vibroport80. The construction comprises the ADXL345 sensor connected to the Arduino Mega 2560 microcontroller operated by Widows operating system and programming language Arduino IDE 1.08. Testing of measurements at Bearing speeds of 500, 1000, and 1500 RPM with length of time measurements at 5, 10, and 20 seconds respectively. The analysis of the test results shows that the MEMS Accelerometer ADXL345 of vibration measurement system can measure, process and display vibration measurement data larger 3% than PZT Accelerometer and can provide the best measurement accuracy at 20 seconds measurement length of time.

Development of Bioimpedance Sensors and Measurement System for Biomedical In-Vitro Applications

2021 ◽  
Vol 7 (2) ◽  
pp. 496-499
Author(s):  
Stadler B. Eng. Sebastian ◽  
Herbert Plischke ◽  
Christian Hanshans
Keyword(s):  
Measurement System ◽  
Low Cost ◽  
Measurement Data ◽  
Impedance Measurement ◽  
Microtiter Plate ◽  
Label Free ◽  
Single Chip ◽  
Do It Yourself ◽  
Store And Forward

Abstract Bioimpedance analysis is a label-free and easy approach to obtain information on cellular barrier integrity and cell viability more broadly. In this work, we introduce a small, low-cost, portable in vitro impedance measurement system for studies where a shadow-free exposure of the cells is a requirement. It can be controlled by a user-friendly web interface and can perform measurements automated and autonomously at short intervals. The system can be integrated into an existing IoT network for remote monitoring and indepth analyses. A single-board computer (SBC) serves as the central unit, to control, analyze, store and forward the measurement data from the single-chip impedance analyzer. Various materials and manufacturing methods were used to produce a purpose-built lid on top of a modified 24-well microtiter plate in a “do it yourself” fashion. Furthermore, three different sensor designs were developed utilizing anodic aluminum oxide (AAO) membranes and gold-plated electrodes. Preliminary tests with potassium chloride (KCl) showed first promising results.

Research of DC Current Measurement Technology Based on Optical Fiber Thermometry

2011 ◽  
Vol 128-129 ◽  
pp. 686-689 ◽  
Author(s):  
Dan Ping Jia ◽  
Yang Wang ◽  
Song Lin ◽  
Quan Kang Wei
Keyword(s):  
Thin Film ◽  
Optical Fiber ◽  
Measurement System ◽  
Low Voltage ◽  
Low Cost ◽  
Electric Heating ◽  
Measurement Technology ◽  
Voltage Measurement ◽  
Film Sensor ◽  
Dc Current

Thin film sensor has the advantages of small size and low cost, which has become a research hotspot in recent years. A measurement system of passive optical fiber DC current sensor based on the thin film sensors is designed in this article. Designs of electric-heating converter, heating-light converter and low-voltage measurement display system are introduced in detail. Experimental results indicate that the general linear correlation between the time constant of fluorescent lifetime and the voltage across the thin film resistor. The feasibility of measurement system is verified via the results of the experiment.

scholarly journals Towards Safer Rides: Measuring Motorcycle Dynamics with Smartphones

2020 ◽  
Author(s):  
Maximilian Stanglmayr ◽  
◽  
Maximilian Bäumler ◽  
Keyword(s):  
Measurement System ◽  
Inertial Sensors ◽  
Road Traffic ◽  
Low Cost ◽  
Measurement Data ◽  
Smartphone App ◽  
High Precision Measurement ◽  
Road Users ◽  
Vulnerable Road Users ◽  
Motorcycle Dynamics

Motorcyclists are among the most vulnerable road users in road traffic. Often, the cause of accidents is a loss of control on rural roads which could be averted by making use of the physical potential in terms of larger lean angles. At the same time, in reality driven lean angles over a larger group of riders and a longer route are unknown which is mainly due to the special measuring technology required. The focus is therefore on the development of a low-cost measurement method for measuring the lean angles of motorcycles. Smartphones are usually characterized by integrated inertial sensors, which are suitable for the acquisition of motorcycle driving dynamics. Employing a smartphone app tailored to the requirements for collecting measurement data on the motorcycle, the data of the sensors are recorded. During the offline evaluation, the rotation angles between the smartphone and the motorcycle coordinate system are determined, the inertial measurement data are transformed and the roll angle is calculated. An essential part is the alignment of the developed measurement chain with a high-precision measurement system. This was carried out on different routes and thus the data quality was determined. As a feasibility study, a test person study with several participants was carried out, which confirmed the practical suitability of the measurement chain. Hence, the study outcomes are briefly shown and discussed. The successful validation on different routes, the practical suitability of the data acquisition and the accuracy of the measurement system encourage to roll out the smartphone app to a larger panel of test persons and thus to collect data on a larger driver collective.

scholarly journals Development of a Low-Cost Vibration Measurement System for Industrial Applications

Machines ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 12 ◽  
Author(s):  
Adrian Villarroel ◽  
Grover Zurita ◽  
Romeo Velarde
Keyword(s):  
Data Storage ◽  
Measurement System ◽  
Low Cost ◽  
Industrial Applications ◽  
Vibration Measurement ◽  
Signal Frequency ◽  
Research Approach ◽  
Validation Process ◽  
Vibration Measurements ◽  
New Guidelines

Vibration-Based Condition Monitoring (VBCM) provides essential data to perform Condition-Based Maintenance for efficient, optimal, reliable, and safe industrial machinery operation. However, equipment required to perform VBCM is often relatively expensive. In this paper, a low-cost vibration measurement system based on a microcontroller platform is presented. The FRDM K64F development board was selected as the most suitable for fulfilling the system requirements. The industrial environment is highly contaminated by noise (electromagnetic, combustion, airborne, sound borne, and mechanical noise). Developing a proper antialiasing filter to reduce industrial noise is a real challenge. In order to validate the developed system, evaluations of frequency response and phase noise were carried out. Additionally, vibration measurements were recorded in the industry under different running conditions and machine configurations. Data were collected simultaneously using a standard reference system and the low-cost vibration measurement system. Results were processed using Fast Fourier Transform and Welch’s method. Finally, a low-cost vibration measurement system was successfully created. The validation process demonstrates the robustness, reliability, and accuracy of this research approach. Results confirm a correlation between signal frequency spectrum obtained using both measurement systems. We also introduce new guidelines for practical data storage, communications, and validation process for vibration measurements.

MEMS Accelerometer Design Optimization Using Genetic Algorithm

2013 ◽  
Vol 705 ◽  
pp. 288-294 ◽  
Author(s):  
V.S. Krushnasamy ◽  
A. Vimala Juliet
Keyword(s):  
Genetic Algorithm ◽  
Design Optimization ◽  
High Efficiency ◽  
Microelectromechanical Systems ◽  
Optimal Parameter ◽  
Low Cost ◽  
Complex Nature ◽  
Mems Accelerometer ◽  
Mems Technology ◽  
Parameter Values

MEMS (Microelectromechanical Systems) refers to the technology integrating electrical and mechanical components with feature size of 1~1000 microns. Due to its small size, low cost, low power consumption and high efficiency, MEMS technology has been widely used in many fields.In this paper,the design optimization of MEMS accelerometer is discussed.The main objective of this investigation is to find a optimum design of MEMS,which satisfies a set of given constraints. The accelerometer employs a double folded beam flexure system and the mass being displaced is the proof mass.Due to the complex nature of the problem,a genetic algorithm (GA) is developed for the optimization of MEMS.The GA attempts to minimize the die area and so the four optimal parameter values can be determined. MEMS accelerometers can be used in air-bag deployment systems in automobiles.The experimental results will show the optimal design of MEMS.

scholarly journals Design and Fabrication of Temperature Sensor for Weather Monitoring System using MEMS Technology

2018 ◽  
Vol 34 (5) ◽  
pp. 2510-2516
Author(s):  
Veeramani P. ◽  
Vimala Juliet A. ◽  
Sam Jebakumar J. ◽  
Jagadish R
Keyword(s):  
Monitoring System ◽  
Temperature Sensor ◽  
Low Cost ◽  
High Sensitivity ◽  
Micro Electro Mechanical System ◽  
Temperature Sensors ◽  
High Melting ◽  
Temperature Coefficient Of Resistance ◽  
Mems Technology ◽  
High Degree

In this paper, Micro Electro Mechanical System (MEMS) based temperature sensor is designed and fabricated for weather monitoring system at troposphere level. In this design we have used meander shape, because it is easy to vary the length. We have optimized the length in this design. Due to certain advantages like low cost, easily available, high melting and boiling point, molybdenum material is used for fabrication of this design. The four meander type temperature sensors are designed with various dimensions of sizes in 6.7mm×4mm, 9.5mm×4mm, 5.2mm×4mm, 6.5mm×4mm. The Temperature Coefficient of Resistance (TCR) values for four various sensors mentioned above are 3.4 ×10-4 C-1, 3.7×10-4 C-1, 7.0×10-4 C-1, 7.5×10-4 C-1. For radiosonde applications the sensor must have high sensitivity, high degree of accuracy, good linearity and with better TCR values. The experimental results are better for dimension 6.7mm ×4mm for all characteristics mentioned above. The practical results are compared with the theoretical values.

scholarly journals Low-Cost Monitoring and Diagnosis System for Rolling Bearing Faults of the Induction Motor Based on Neural Network Approach

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1334
Author(s):  
Pawel Ewert ◽  
Czeslaw T. Kowalski ◽  
Teresa Orlowska-Kowalska
Keyword(s):  
Neural Network ◽  
Induction Motor ◽  
Computer System ◽  
Low Cost ◽  
Measurement Data ◽  
Training Data ◽  
Vibration Measurement ◽  
Diagnosis System ◽  
Envelope Analysis ◽  
Monitoring And Diagnosis

In this article, a low-cost computer system for the monitoring and diagnosis of the condition of the induction motor (IM) rolling bearings is demonstrated and tested. The system allows the on-line monitoring of the IM bearings and subsequent fault diagnostics based on analysis of the vibration measurement data. The evaluation of the bearing condition is made by a suitably trained neural network (NN), on the basis of the spectral and envelope analysis of the mechanical vibrations. The system was developed in the LabVIEW environment in such a way that it could be run on any PC. The functionality of the application has been tested on a real object. The study was conducted on a low-power IM equipped with a set of specially prepared bearings so as to model the different damages. In the designed computer system, a selected NN for detecting and identifying the defects of individual components of the induction motor’s bearings was implemented. The training data for NNs were obtained from real experiments. The magnitudes of the characteristic harmonics, obtained from the spectral analysis and the envelope analysis, were used for training and testing the developed neural detectors based on Matlab toolbox. The experimental test results of the developed monitoring and diagnosis system are presented in the article. The evaluation of the system’s ability to detect and identify the defects of individual components of bearings, such as the rolling element, and outer race and inner race, was made. It was also shown that the developed NN-based detectors are insensitive to other motor faults, such as short-circuits of the stator winding, broken rotor bars or motor misalignment.

scholarly journals Wireless Sensor Based Monitoring System for Forest Tree Poaching and Fire Using Iot

2018 ◽  
Vol 7 (3.27) ◽  
pp. 186
Author(s):  
C Arulstephen ◽  
R K. Raghulsharma ◽  
B Ebenezer Abishek ◽  
P Satish Kumar
Keyword(s):  
Mechanical System ◽  
Monitoring System ◽  
Forest Tree ◽  
Micro Electro Mechanical System ◽  
Vibration Sensor ◽  
Wireless Sensor ◽  
Forest Resource ◽  
Mems Accelerometer ◽  
Alert Message ◽  
Mems Technology

Forest tree poaching is a serious threat to forest resource and has an impact on the environment hence preservation of trees is a  must for mankind .This paper mainly aims at monitoring the trees using Micro –Electro mechanical system(MEMS) technology and employing vibration sensor , sound sensor, fire sensor. The vibration produced while cutting of trees using MEMS accelerometer is sent through Zigbee to the main server and the location is detected using GPS likewise if fire is detected the information is sent through IoT and it can be viewed by forest ranger hence alert message is sent to detect and avoid poaching of trees and fire in forest. 

Development of Perpendicular Sensor for Disaster Prevention

2013 ◽  
Vol 838-841 ◽  
pp. 2174-2178
Author(s):  
Mo Yang ◽  
Nalin Warnajith ◽  
Atsushi Minato ◽  
Satoru Ozawa
Keyword(s):  
Sensor Network ◽  
Measurement System ◽  
Low Cost ◽  
Measurement Data ◽  
Digital Camera ◽  
Stable System ◽  
Curvature Radius ◽  
Disaster Prevention ◽  
Bull's Eye ◽  
Wireless Module

Monitoring of inclination of land is important to prevent damage from landslide. Low cost and stable system is necessary for this purpose. This paper presents a new inclination measurement system and its application to sensor network of disaster prevention. Our system has a bull's eye level, a digital camera and wireless module. The angle and direction of inclination is measured from the photo of bull's eye level. The achieved resolution was 0.0053degree/pixel using a bull's eye level with a curvature radius of 800 mm. Measurement data was compared with the data from commercial inclinometer.

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