scholarly journals Solar Panels String Predictive and Parametric Fault Diagnosis Using Low-Cost Sensors

Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 332
Author(s):  
Emilio García ◽  
Neisser Ponluisa ◽  
Eduardo Quiles ◽  
Ranko Zotovic-Stanisic ◽  
Santiago C. Gutiérrez
Keyword(s):  
Fault Diagnosis ◽  
Low Cost ◽  
Cumulative Effect ◽  
Sampling Frequency ◽  
Solar Panels ◽  
Electrical Parameters ◽  
Detection Thresholds ◽  
Scada System ◽  
Parametric Fault ◽  
Adequate Margin

This work proposes a method for real-time supervision and predictive fault diagnosis applicable to solar panel strings in real-world installations. It is focused on the detection and parametric isolation of fault symptoms through the analysis of the Voc-Isc curves. The method performs early, systematic, online, automatic, permanent predictive supervision, and diagnosis of a high sampling frequency. It is based on the supervision of predictive electrical parameters easily accessible by the design of its architecture, whose detection and isolation precedes with an adequate margin of maneuver, to be able to alert and stop by means of automatic disconnection the degradation phenomenon and its cumulative effect causing the development of a future irrecoverable failure. Its architecture design is scalable and integrable in conventional photovoltaic installations. It emphasizes the use of low-cost technology such as the ESP8266 module, ASC712-5A, and FZ0430 sensors and relay modules. The method is based on data acquisition with the ESP8266 module, which is sent over the internet to the computer where a SCADA system (iFIX V6.5) is installed, using the Modbus TCP/IP and OPC communication protocols. Detection thresholds are initially obtained experimentally by applying inductive shading methods on specific solar panels.

scholarly journals Improving the Electrical Parameters of a Photovoltaic Panel by Means of an Induced or Forced Air Stream

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
R. Mazón-Hernández ◽  
J. R. García-Cascales ◽  
F. Vera-García ◽  
A. S. Káiser ◽  
B. Zamora
Keyword(s):  
Channel Cross Section ◽  
Working Fluid ◽  
Solar Panels ◽  
Electrical Parameters ◽  
Air Velocity ◽  
Test Installation ◽  
Photovoltaic Panel ◽  
Air Stream ◽  
Forced Air ◽  
And Performance

The main priority in photovoltaic (PV) panels is the production of electricity. The transformation of solar energy into electricity depends on the operating temperature in such a way that the performance increases with the decreasing temperatures. In the existing literature, different cooling techniques can be found. The purpose of most of them is to use air or water as thermal energy carriers. This work is focused on the use of air as a working fluid whose movement is either induced by natural convection or forced by means of a fan. The aim of this study is to characterise the electrical behaviour of the solar panels in order to improve the design of photovoltaic installations placed in roof applications ensuring low operating temperatures which will correct and reverse the effects produced on efficiency by high temperature. To do this, a test installation has been constructed at the Universidad Politécnica de Cartagena in Spain. In this paper, the results of the tests carried out on two identical solar panels are included. One of them has been modified and mounted on different channels through which air flows. The different studies conducted show the effects of the air channel cross-section, the air velocity, and the panel temperature on the electrical parameters of the solar panels, such as the voltage, current, power, and performance. The results conclude that the air space between the photovoltaic panels and a steel roof must be high enough to allow the panel to be cooled and consequently to achieve higher efficiency.

scholarly journals Evolution of Wireless Sensor Network for Air Quality Measurements

Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 342 ◽  
Author(s):  
Patricia Arroyo ◽  
Jesús Lozano ◽  
José Suárez
Keyword(s):  
Air Quality ◽  
Sensor Network ◽  
Low Cost ◽  
Principal Component ◽  
Solar Panels ◽  
Success Rates ◽  
Sampling System ◽  
Air Quality Measurements ◽  
Zigbee Protocol ◽  
Benzene Toluene

This study addresses the development of a wireless gas sensor network with low cost, small size, and low consumption nodes for environmental applications and air quality detection. Throughout the article, the evolution of the design and development of the system is presented, describing four designed prototypes. The final proposed prototype node has the capacity to connect up to four metal oxide (MOX) gas sensors, and has high autonomy thanks to the use of solar panels, as well as having an indirect sampling system and a small size. ZigBee protocol is used to transmit data wirelessly to a self-developed data cloud. The discrimination capacity of the device was checked with the volatile organic compounds benzene, toluene, ethylbenzene, and xylene (BTEX). An improvement of the system was achieved to obtain optimal success rates in the classification stage with the final prototype. Data processing was carried out using techniques of pattern recognition and artificial intelligence, such as radial basis networks and principal component analysis (PCA).

scholarly journals Design and Implementation of SCADA System for Sugar Production Line

2019 ◽  
Vol 15 (2) ◽  
pp. 80-88
Author(s):  
Noor N. N. Abdulsattar ◽  
Faiz F. Mustafa ◽  
Suha M. Hadi
Keyword(s):  
Manufacturing Process ◽  
Production Line ◽  
Sugar Industry ◽  
Low Cost ◽  
Programmable Logic ◽  
Sugar Production ◽  
Design And Implementation ◽  
Selector Switch ◽  
Scada System ◽  
Plc Programming

SCADA is the technology that allows the operator to gather data from one or more various facilities and to send control instructions to those facilities.  This paper represents an adaptable and low cost SCADA system for a particular sugar manufacturing process, by using Programmable Logic Controls (Siemens s7-1200, 1214Dc/ Dc/ Rly). The system will control and monitor the laboratory production line chose from sugar industry. The project comprises of two sections the first one is the hardware section that has been designed, and built using components suitable for making it for laboratory purposes, and the second section was the software as the PLC programming, designing the HMI, creating alarms and trending system. The system will have two HMI screens according to the two operating states of system (Automatic and Manual), the operator can choose between them by a selector switch, this method helps the operators when fixing a failure and wanting to check it without operating all the process. The result has accomplished the goals of controlling, the parameters (temperature, flow, humidity) were monitored, failure was detected by an alarm.

scholarly journals Fault Diagnosis of Industrial Gear Hobbing Machine

2020 ◽  
Vol 9 (3) ◽  
pp. 2039-2043
Keyword(s):  
Fault Diagnosis ◽  
Low Cost ◽  
Market Competition ◽  
Vibrational Analysis ◽  
High Quality ◽  
Mems Accelerometer ◽  
Spectral Kurtosis ◽  
Vibration Data ◽  
Gear Hobbing ◽  
Dynamic Time

The aim of this paper is to develop a fault diagnosis algorithm by vibrational analysis for an industrial gear hobbing machine. Gear Hobbing is the most dominant and profitable process for manufacturing high quality gears. In order to sustain the market competition gear manufacturers, need to produce high quality gears with minimum possible cost. However, catastrophic failures do occur in gear hobbing process which causes unexpected machine down time and revenue loss. These failures can be avoided by using condition monitoring approaches. In the proposed approach vibration data during different faults such as lubrication error, excessive feed rate, loose bearing error is collected from an industrial gear hobbing machine using three axis MEMS accelerometer. The collected data is analyzed and classified with spectral kurtosis and Dynamic Time Warping algorithm. The efficiency of the proposed approach is 90 percent as determined by experimental results. The proposed approach can provide a low-cost solution for predictive maintenance for gear hobbing industries..

Design of Urban-Rural Power Grid Dispatching Fault Diagnosis Expert System

2014 ◽  
Vol 539 ◽  
pp. 659-663 ◽  
Author(s):  
Xiu Feng Xu
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Automatic System ◽  
Power Grid ◽  
The Core ◽  
Scada System ◽  
Urban Rural ◽  
Fault Inference ◽  
Fault Information ◽  
Core Part

The paper designs the urban-rural power grid dispatching fault diagnosis expert system which acquires fault information by SCADA system of automatic system of urban-rural power grid, and uses artificial intellegence method to analyze fault information and make fault diagnosis. The paper implements the core part of the fault expert systemthe design of knowledge base and fault inference engine.

Development of the Low Cost Harmonic and Power Instrument by Using Fourier Series Method with Microcontroller

2014 ◽  
Vol 492 ◽  
pp. 519-525
Author(s):  
Napat Watjanatepin ◽  
Chaiyant Boonmee ◽  
Yutthana Kantaphayao
Keyword(s):  
Fourier Series ◽  
Power Factor ◽  
Measurement Errors ◽  
Single Phase ◽  
Low Cost ◽  
Electrical Power ◽  
Quality Measurement ◽  
Series Method ◽  
Electrical Parameters ◽  
Fourier Series Method

The objective of this paper is to present the application of microcontroller dsPIC30F6012A to measure the harmonics current and electrical power by using the Fourier series method to calculate the electrical parameters. This design is to develop the low cost harmonics instrument and to focus on working with the single phase AC system. The prototype was then developed to measure the harmonics current and power factor, and the result was compared with the standard instrument. The result is that most electrical parameters have the measurement errors of less than 4.0%. However, this idea could be developed so that it applies in the related work with the power quality measurement.

Fault diagnosis of motor based on low cost edge computing technology

2020 ◽  
Author(s):  
Yi-Horng Lai ◽  
Ye-Cheng Zhang ◽  
Liang Fang ◽  
Chiao-Sheng Wang ◽  
Jau-Woei Perng
Keyword(s):  
Fault Diagnosis ◽  
Low Cost ◽  
Edge Computing ◽  
Computing Technology
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