Real-Time Wavelet Analysis of a Vibration Signal Based on Arduino-UNO and LabVIEW

2015 ◽  
pp. 66-70 ◽  
Author(s):  
Alaa A. Jaber ◽  
Robert Bicker
Keyword(s):  
Wavelet Analysis ◽  
Real Time ◽  
Vibration Signal ◽  
Arduino Uno

Research of the Vertical Vibrations of Tandem Mill Based on Wavelet Analysis

2015 ◽  
Vol 724 ◽  
pp. 279-282
Author(s):  
Chun Hua Ren ◽  
Xu Ma ◽  
Ze Ming Li ◽  
Yan Hong Ding
Keyword(s):  
Wavelet Analysis ◽  
Wavelet Decomposition ◽  
Vibration Signal ◽  
Vertical Vibration ◽  
Rolling Speed ◽  
Vibration Data ◽  
Signal Features ◽  
Operating Side ◽  
Vertical Vibrations ◽  
Vibration Parameters

In this paper, the defect sheet was captured coincidentally. According to the defective product’s characteristics, we suspected to be caused by the vertical vibration of the roll. When the rolling speed reached a certain value, the vibration of the fourth stand can be feel. The experiment of the vibration data collection was taken to compare the vibration parameters of rolling operating side with those of drive side by wavelet analysis. The result states that the abnormal vibration signal features can be extracted in a special frequency segment of wavelet decomposition, and the vibration frequency to the roll is confirmed which appeared product defects.

scholarly journals Pengembangan Alat Deteksi Dini Asap Dan Kebocoran Gas Pada Tabung Lpg, Pencegah Kebakaran Skala Rumah Tangga

Faktor Exacta ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 113
Author(s):  
Agung Wahyudi Biantoro ◽  
Rini Anggraini ◽  
Subekti Subekti
Keyword(s):  
Real Time ◽  
Arduino Uno

Saat penggunaan bahan bakar gas dinilai lebih efisien daripada bahan bakar dari fosil.  Namun, demikian, penggunaan bahan bakar gas dapat berdampak negatif terhadap keselamatan manusia bahkan menimbulkan kerugian yang cukup besar apabila tidak digunakan dengan hati-hati, terutama bila tidak diketahui telah terjadi adanya asap dan kebocoran dari tabung dan menyebabkan kebakaran, khususnya pada skala industri kecil dan skala rumah tangga.  Bila anggota rumah tangga tidak ada di ruangan tersebut maka sulit untuk mendeteksi kebocoran gas yang ada di dapur.  Gas  BBG terkenal dengan sifatnya yang mudah terbakar sehingga kebocoran peralatan BBG beresiko tinggi terhadap kebakaran. Tujuan dari penelitian ini adalah untuk merancang pembuatan dan alat pendeteksi asap dan gas untuk mendeteksi kebocoran gas pada skala rumah tangga.  Metode yang digunakan adalah pembuatan alat sistem pendeteksi asap dan kebocoran gas otomatis, dengan menggunakan mikrokontroller, Arduino Uno. Perlunya dibuatkan sistem yang mendukung mekanisme monitoring real time dan dapat memberikan peringatan dan notifikasi berbasis media suara (alarm) dan lampu led.  Kesimpulan adalah bahwa alat pendeteksi kebocoran gas ini  dapat bekerja dengan baik, ini ditunjukkan dengan berfungsinya alat saat diberikan percobaan asap dalam berbagai konsentrasi dan jarak. Buzzer berbunyi, lampu LED hijau menyala dan menampilkan data grafik pada android. Selanjutnya sensor akan mendeteksi adanya asap dan apabila di sekitar ruang misalnya ruangan dapur terdapat kandungan asap.  Konsentrasi dimulai dari 0 ppm, lalu pada konsentrasi 600 ppm yang kemudian meningkat menjadi 650, 700 dan 900 ppm.  Pada konsentrasi asap 600 ppm alat berfungsi dengan baik, dengan aktifnya alarm buzzer dan lampu led.   Alat deteksi Asap ini dapat juga digunakan untuk deteksi gas seperti gas Butane dan dapat ditaruh di ruangan yang rawan kebakaran misalnya ruangan dapur, sedangkan layar led dapat ditaruh di lokasi di ruang yang sering dilalui oleh anggota rumah tangga.

scholarly journals An IoT based Low-cost Weather Monitoring System for Smart Farming

2021 ◽  
Author(s):  
L.P.S.S.K. Dayananda ◽  
A. Narmilan ◽  
P. Pirapuraj
Keyword(s):  
Liquid Crystal ◽  
Mobile Phone ◽  
Real Time ◽  
Monitoring System ◽  
Liquid Crystal Display ◽  
Low Cost ◽  
Weather Conditions ◽  
Weather Data ◽  
The Internet ◽  
Arduino Uno

Background: Weather monitoring is an important aspect of crop cultivation for reducing economic loss while increasing productivity. Weather is the combination of current meteorological components, such as temperature, wind direction and speed, amount and kind of precipitation, sunshine hours and so on. The weather defines a time span ranging from a few hours to several days. The periodic or continuous surveillance or the analysis of the status of the atmosphere and the climate, including parameters such as temperature, moisture, wind velocity and barometric pressure, is known as weather monitoring. Because of the increased usage of the internet, weather monitoring has been upgraded to smart weather monitoring. The Internet of Things (IoT) is one of the new technology that can help with many precision farming operations. Smart weather monitoring is one of the precision agriculture technologies that use sensors to monitor correct weather. The main objective of the research is to design a smart weather monitoring and real-time alert system to overcome the issue of monitoring weather conditions in agricultural farms in order for farmers to make better decisions. Methods: Different sensors were used in this study to detect temperature and humidity, pressure, rain, light intensity, CO2 level, wind speed and direction in an agricultural farm and real time clock sensor was used to measured real time weather data. The major component of this system was an Arduino Uno microcontroller and the system ran according to a program written in the Arduino Uno software. Result: This is a low-cost smart weather monitoring system. This system’s output unit were a liquid crystal display and a GSM900A module. The weather data was displayed on a liquid crystal display and the GSM900A module was used to send the data to a mobile phone. This smart weather station was used to monitor real-time weather conditions while sending weather information to the farmer’s mobile phone, allowing him to make better decisions to increase yield.

scholarly journals Sistem Peringatan Dini Banjir Secara Real-Time Berbasis Web Menggunakan Arduino dan Ethernet

2017 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Dedi Satria ◽  
Syaifuddin Yana ◽  
Rizal Munadi ◽  
Saumi Syahreza
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Real Time ◽  
Early Warning ◽  
Major Influence ◽  
Google Maps ◽  
Flood Monitoring ◽  
Arduino Uno ◽  
Internet Of Things Technology ◽  
Monitoring Information

a b s t r a c tThe development of flood early warning technology has grown rapidly. The technology has led to an increase in technology in terms of communication and information. Internet of Things technology (IoTs) has provided a major influence on the development of early warning information system. In this article a protipe-based flood monitoring information system of Google Maps have been designed by integrating Ultrasonic sensors as the height of the detector, the Arduino Uno as a processor, U-Blox GPS modules Neo 6 m GSM module and as the sender of data is the height of the water and the coordinates to the station of the system informais flood. The design of the prototype produces information flood elevations along with location based Google Maps interface.Keywords:Flood, Arduino, Internet of Things Technology (IoTs), Ethernet a b s t r a kPengembangan teknologi peringatan dini banjir telah tumbuh dengan cepat. Teknologi tersebut telah mengarah kepada peningkatan di segi teknologi komunikasi dan informasi. Teknologi Internet of Things (IoTs) telah memberikan pengaruh besar terhadap perkembangan sistem informasi peringatan dini. Didalam artikel ini sebuah protipe sistem informasi monitoring banjir berbasis Google Maps telah dirancang dengan mengintegrasikan sensor ultrasonik sebagai pendeteksi ketinggian, Arduino Uno sebagai pemroses, modul GPS U-Blox Neo 6m dan modul GSM sebagai pengirim data ketinggian air dan koordinat ke stasion sistem informais banjir. Perancangan prototipe menghasilkan informasi ketinggian banjir beserta lokasinya berbasis antarmuka Google Maps.Kata Kunci: Banjir, Arduino, Internet of Things Technology (IoTs), Ethernet

scholarly journals Rancang Bangun Pendeteksi Kualitas Minyak Goreng Kelapa Sawit dengan Menggunakan Metode Sensor Ultrasonik dan Sensor Kapasitif Berbasis Smartphone

2020 ◽  
Vol 10 (3) ◽  
pp. 140-143
Author(s):  
Cighra Satria ◽  
M. Nanak Zakaria ◽  
Farida Arinie Soelistianto
Keyword(s):  
Real Time ◽  
Arduino Uno

Pada penelitian ini aplikasi andoid dapat digunakan sebagai alat bantu konsumen mengetahui kadar lemak dan keasaman pada minyak barco,ikan dorang,dan minyak curah yang memiliki sistem monitoring secara real time. Penelitian ini menggunakan Arduino uno dan NodeMCU sebagai mikrokontrollernya. Arduino uno nantinya akan dirangkainya bersama dengan modul pH air,ultrasonik HC-SR04,dan kapasitif soil. Modul pH berfungsi untuk mengukur kadar air dan lemak pada minyak sawit. Modul ultrasonik yang berfungsi untuk mengukur volume pada wadah pengukuran minyak. Modul kapasitif berfungsi untuk menentukan kepadatan kualitas pada minyak jenuh. Hasil pengujian dapat disimpulkan bahwa Sensor pH dapat mendeteksi kadar lemak dan keasaman pada minyak sawit memiliki nilai sekitar 5 sampai 11. Sensor ultrasonik pada volume minyak sampel barco dan ikan dorang memiliki grafik yang signifikan naik,sedangkan sampel minyak curah memiliki grafik yang sangat tinggi yang menyebabkan keasaman minyak. Penelitian ini memiliki delay tertinggi sebesar 1.303525ms dan delay terendah sebesar 0,628276ms. Dengan nilai rata-rata delay yang didapatkan sebesar 1.189657 ms

Mine Ventilator Fault Diagnosis Based on Harmonic Wavelet Analysis

2011 ◽  
Vol 143-144 ◽  
pp. 613-617
Author(s):  
Shuang Xi Jing ◽  
Yong Chang ◽  
Jun Fa Leng
Keyword(s):  
Fault Diagnosis ◽  
Wavelet Analysis ◽  
Frequency Domain ◽  
Vibration Signal ◽  
Wavelet Function ◽  
Frequency Region ◽  
Analysis Method ◽  
Vibration Signals ◽  
Harmonic Wavelet ◽  
Frequency Components

Harmonic wavelet function, with the strict box-shaped characteristic of spectrum, has strong ability of identifying signal in frequency domain, and can extract weak components form vibration signals in frequency domain. Using harmonic wavelet analysis method, the selected frequency region and other frequency components of vibration signal of mine ventilator were decomposed into independent frequency bands without any over-lapping or leaking. Simulation and diagnosis example show that this method has good fault diagnosis effect, and the ventilator fault is diagnosed successfully.

The Wavelet Analysis and Processing of Weak Vibration Signal

2011 ◽  
Vol 189-193 ◽  
pp. 1426-1431
Author(s):  
Ze Ning Xu ◽  
Hong Yu Liu ◽  
Yong Guo Zhang
Keyword(s):  
Fault Diagnosis ◽  
Wavelet Analysis ◽  
Signal To Noise Ratio ◽  
Vibration Signal ◽  
Basic Feature ◽  
Wavelet Function ◽  
Fault Analysis ◽  
Bearing Fault Diagnosis ◽  
Gear Fault ◽  
Vibratory Signals

Signal measuring is an important link in machine fault diagnosis. Accurate and reliable fault signals can be achieved by reasonable signal measuring. When the distance between sensor and measuring gear or bearing is comparatively far, the collected signals became weak and disturbed by other vibratory signals in equipments on bearing and gear fault analysis. Useful signals often were submerged in powerful noise, so caused difficult in extracting fault feature. In this paper, according to the feature of vibratory signals in machine test, wavelet analysis basic theory was applied on researching basic feature of wavelet analysis. By selecting suitable wavelet function and applying wavelet elimination noise technology the signal to noise ratio of signal was raised, thus the vibratory impact component can be measured in weak signals. Finally, wavelet analysis was applied on bearing fault diagnosis.

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