scholarly journals Intelligent Fault Detection and Identification Approach for Analog Electronic Circuits Based on Fuzzy Logic Classifier

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2888
Author(s):  
Ahmed R. Nasser ◽  
Ahmad Taher Azar ◽  
Amjad J. Humaidi ◽  
Ammar K. Al-Mhdawi ◽  
Ibraheem Kasim Ibraheem
Keyword(s):  
Fuzzy Logic ◽  
Analog Circuit ◽  
Industrial Applications ◽  
Classification Model ◽  
Electronic Circuits ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Fault Detection And Identification ◽  
Identification Approach ◽  
Faulty Component

Analog electronic circuits play an essential role in many industrial applications and control systems. The traditional way of diagnosing failures in such circuits can be an inaccurate and time-consuming process; therefore, it can affect the industrial outcome negatively. In this paper, an intelligent fault diagnosis and identification approach for analog electronic circuits is proposed and investigated. The proposed method relies on a simple statistical analysis approach of the frequency response of the analog circuit and a simple rule-based fuzzy logic classification model to detect and identify the faulty component in the circuit. The proposed approach is tested and evaluated using a commonly used low-pass filter circuit. The test result of the presented approach shows that it can identify the fault and detect the faulty component in the circuit with an average of 98% F-score accuracy. The proposed approach shows comparable performance to more intricate related works.

An experimental analog circuit realization of Matsuda’s approximate fractional-order integral operators for industrial electronics

2021 ◽  
Author(s):  
Murat Koseoglu ◽  
Furkan Nur Deniz ◽  
Baris Baykant Alagoz ◽  
Ali Yuce ◽  
Nusret Tan
Keyword(s):  
Fractional Order ◽  
Analog Circuit ◽  
Low Cost ◽  
Electric Circuit ◽  
Partial Fraction ◽  
Circuit Realization ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Performance Improvements ◽  
Low Pass

Abstract Analog circuit realization of fractional order (FO) elements is a significant step for the industrialization of FO control systems because of enabling a low-cost, electric circuit realization by means of standard industrial electronics components. This study demonstrates an effective operational amplifier-based analog circuit realization of approximate FO integral elements for industrial electronics. To this end, approximate transfer function models of FO integral elements, which are calculated by using Matsuda’s approximation method, are decomposed into the sum of low-pass filter forms according to the partial fraction expansion. Each partial fraction term is implemented by using low-pass filters and amplifier circuits, and these circuits are combined with a summing amplifier to compose the approximate FO integral circuits. Widely used low-cost industrial electronics components, which are LF347N opamps, resistor and capacitor components, are used to achieve a discrete, easy-to-build analog realization of the approximate FO integral elements. The performance of designed circuit is compared with performance of Krishna’s FO circuit design and performance improvements are shown. The study presents design, performance validation and experimental verification of this straightforward approximate FO integral realization method.

scholarly journals Pencil-on-Paper Capacitors for Hand-Drawn RC Circuits and Capacitive Sensing

2017 ◽  
Vol 2017 ◽  
pp. 1-4 ◽  
Author(s):  
Jonathan E. Thompson
Keyword(s):  
Water Vapor ◽  
Surface Area ◽  
Chemical Sensing ◽  
Adsorbed Water ◽  
Force Transducer ◽  
Capacitive Sensing ◽  
Electronic Circuits ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass

Electronic capacitors were constructed via hand-printing on paper using pencil graphite. Graphite traces were used to draw conductive connections and capacitor plates on opposing sides of a sheet of standard notebook paper. The paper served as the dielectric separating the plates. Capacitance of the devices was generally < 1000 pF and scaled with surface area of the plate electrodes. By combining a pencil-drawn capacitor with an additional resistive pencil trace, an RC low-pass filter was demonstrated. Further utility of the pencil-on-paper devices was demonstrated through description of a capacitive force transducer and reversible chemical sensing. The latter was achieved for water vapor when the hygroscopic cellulose matrix of the paper capacitor’s dielectric adsorbed water. The construction and demonstration of pencil-on-paper capacitive elements broadens the scope of paper-based electronic circuits while allowing new opportunities in the rapidly expanding field of paper-based sensors.

scholarly journals Design and Implementation of High Performance PPSK demodulator in Biomedical Implant

2021 ◽  
Author(s):  
Hima Bindu Katikala ◽  
G.Ramana Murthy ◽  
Yatavakilla Amarendra Nath
Keyword(s):  
Low Power ◽  
Hearing Aids ◽  
Data Transmission ◽  
High Performance ◽  
Large Scale ◽  
Analog Circuit ◽  
Supply Voltage ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass

Abstract The important challenge for the realization of hearing aids is small size, low cost, low power consumption and better performance, etc. Keeping these requirements in view this work concentrates on the VLSI (Very Large Scale Integrated) implementation of analog circuit that mimic the PPSK (Passive Phase Shift Keying) demodulator with low pass filter. This research deals with RF Cochlear implant circuits and their data transmission. A PPSK modulator is used for uplink data transmission in biomedical implants with simultaneous power, data transmission This paper deals about the implementation of PPSK demodulator with related circuits and low pass filter which are used in cochlear implants consumes low power and operates at 14MHz frequency. These circuits are designed using FINFET 20nm technology with 0.4v DC supply voltage. The performance of proposed design over the previous design is operating at low threshold voltage, reduces static leakage currents and often observed greater than 30 times of improvement in speed performance

scholarly journals A Novel Approach To Diagnosis Of Analog Circuit Incipient Faults Based On KECA And OAO LSSVM

2015 ◽  
Vol 22 (2) ◽  
pp. 251-262 ◽  
Author(s):  
Chaolong Zhang ◽  
Yigang He ◽  
Lei Zuo ◽  
Jinping Wang ◽  
Wei He
Keyword(s):  
Analog Circuit ◽  
Support Vector ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Op Amp ◽  
Novel Approach ◽  
Low Pass ◽  
Diagnosis Accuracy ◽  
Incipient Fault

Abstract Correct incipient identification of an analog circuit fault is conducive to the health of the analog circuit, yet very difficult. In this paper, a novel approach to analog circuit incipient fault identification is presented. Time responses are acquired by sampling outputs of the circuits under test, and then the responses are decomposed by the wavelet transform in order to generate energy features. Afterwards, lower-dimensional features are produced through the kernel entropy component analysis as samples for training and testing a one-against-one least squares support vector machine. Simulations of the incipient fault diagnosis for a Sallen-Key band-pass filter and a two-stage four-op-amp bi-quad low-pass filter demonstrate the diagnosing procedure of the proposed approach, and also reveal that the proposed approach has higher diagnosis accuracy than the referenced methods.

scholarly journals Epilepsy attacks recognition based on 1D octal pattern, wavelet transform and EEG signals

2021 ◽  
Author(s):  
Türker Tuncer ◽  
Sengul Dogan ◽  
Ganesh R. Naik ◽  
Paweł Pławiak
Keyword(s):  
Wavelet Transform ◽  
Classification Model ◽  
Discrete Wavelet ◽  
Eeg Signal ◽  
Diagnostic Systems ◽  
Feature Generation ◽  
Eeg Signals ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Eeg Classification

AbstractElectroencephalogram (EEG) signals have been generally utilized for diagnostic systems. Nowadays artificial intelligence-based systems have been proposed to classify EEG signals to ease diagnosis process. However, machine learning models have generally been used deep learning based classification model to reach high classification accuracies. This work focuses classification epilepsy attacks using EEG signals with a lightweight and simple classification model. Hence, an automated EEG classification model is presented. The used phases of the presented automated EEG classification model are (i) multileveled feature generation using one-dimensional (1D) octal-pattern (OP) and discrete wavelet transform (DWT). Here, main feature generation function is the presented octal-pattern. DWT is employed for level creation. By employing DWT frequency coefficients of the EEG signal is obtained and octal-pattern generates texture features from raw EEG signal and wavelet coefficients. This DWT and octal-pattern based feature generator extracts 128 × 8 = 1024 (Octal-pattern generates 128 features from a signal, 8 signal are used in the feature generation 1 raw EEG and 7 wavelet low-pass filter coefficients). (ii) To select the most useful features, neighborhood component analysis (NCA) is deployed and 128 features are selected. (iii) The selected features are feed to k nearest neighborhood classifier. To test this model, an epilepsy seizure dataset is used and 96.0% accuracy is attained for five categories. The results clearly denoted the success of the presented octal-pattern based epilepsy classification model.

scholarly journals Readout for simple and precise analog acoustic impact initialization

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Roman Sotner ◽  
Ladislav Polak ◽  
Jan Jerabek ◽  
Abhirup Lahiri ◽  
Winai Jaikla
Keyword(s):  
Shock Wave ◽  
Analog Circuit ◽  
Linear Part ◽  
Readout System ◽  
Spectral Character ◽  
Time Duration ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Impulse Duration ◽  
Acoustic Shock Wave

AbstractAn economic concept of acoustic shock wave sensing readout system for simple computer processing is introduced in this work. Its application can be found in precise initialization of the stopwatch from the starter sound, handclap or gun in competitive sport races but also in many other places. The proposed device consists of several low-cost commercially available components and it is powered by a 9 V battery. The proposed device reliably reacts on incoming acoustic shock wave by generation of explicit impulse having controllable duration. It significantly overcomes basic implementations using only a microphone and amplifier (generating parasitic burst instead of defined and distinct impulse) or systems allowing a limited number of adjustable features (gain and/or threshold of the comparator—our concept offers the adjustment of gain, cut-off frequency, threshold level and time duration of active state). In comparison with standard methods, the proposed approach simplifies and makes sensing device less expensive and universal for any powder-based starting gun (without necessity to adapt starting gun). The proposed device, among others, has the following features: impulse duration can be controlled from hundreds of μs up to 2.3 s, the gain range of linear part of processing from 6 to 40 dB and open-collector output compatible with 5 V TTL or 3.3 V CMOS logic. The initialization has been tested in the range from tens of centimeters up to four meters. In order to highlight the important spectral components, the spectral character of the signal can be optimally reduced by a low-pass filter. The quiescent power consumption of the designed simple analog circuit reaches 90 mW. Several use cases, response of the designed system on gunshot signature, talking, hand-clapping and hit on the sensing microphone, are studied and compared to each other. Simulation and experimental results confirm functionality of the realized system.

Performance improvement of DVR using a new numerical LPF based on VFF-RLS and fuzzy logic controller

2017 ◽  
Vol 24 (17) ◽  
pp. 4037-4049
Author(s):  
M Fallah ◽  
R Kazemzadeh ◽  
H Madadi Kojabadi
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Transient Response ◽  
Fuzzy Logic Controller ◽  
Low Voltage ◽  
Minimum Energy ◽  
Recursive Least Squares ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Dynamic Voltage

This paper deals with improving the technique of a dynamic voltage restore (DVR). The DVR is a dynamic solution to protect sensitive loads against voltage sags and swells. The DVR can be implemented to protect a group of medium- or low-voltage consumers. Various control methods are proposed to the DVR control, such as pre-sag, in-phase, and minimum energy compensation algorithms, etc. This study presents a modification of the pre-sag method of DVR control in which the steady state and transient response of the pre-sag method are improved. For this purpose, a numerical low pass filter (NLPF) based on a fuzzy logic controller (FLC) and recursive least squares with variable forgetting factor is proposed. The suggested NLPF is replaced instead of the conventional LPF in the pre-sag method structure of the DVR control. With this substitution the steady state and transient response of the DVR are improved. Simulation and experimental results verify the validity and good performance of the proposed method.

scholarly journals A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Aihua Zhang ◽  
Chen Chen ◽  
Hamid Reza Karimi
Keyword(s):  
Analog Circuit ◽  
Feature Space ◽  
Support Vector ◽  
Fast Time ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Circuit Performance ◽  
Evaluation Strategy ◽  
Performance Indexes ◽  
Testing Speed

Focusing on the analog circuit performance evaluation demand of fast time responding online, a novel evaluation strategy based on adaptive Least Squares Support Vector Regression (LSSVR) which employs multikernel RBF is proposed in this paper. The superiority of the multi-kernel RBF has more flexibility to the kernel function online such as the bandwidths tuning. And then the decision parameters of the kernel parameters determine the input signal to map to the feature space deduced that a well plant model by discarding redundant features. Experiment adopted the typical circuit Sallen-Key low pass filter to prove the proposed evaluation strategy via the eight performance indexes. Simulation results reveal that the testing speed together with the evaluation performance, especially the testing speed of the proposed, is superior to that of the traditional LSSVR andε-SVR, which is suitable for promotion online.

scholarly journals A Novel Algorithm for MPPT of an Isolated PV System Using Push Pull Converter with Fuzzy Logic Controller

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 4007 ◽  
Author(s):  
Tehzeeb-ul Hassan ◽  
Rabeh Abbassi ◽  
Houssem Jerbi ◽  
Kashif Mehmood ◽  
Muhammad Faizan Tahir ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Harmonic Distortion ◽  
Pv System ◽  
Dynamic Simulations ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Point Tracking ◽  
Dc Gain ◽  
Pv Modules

Photovoltaic (PV) is a highly promising energy source because of its environment friendly property. However, there is an uncertainty present in the modeling of PV modules owing to varying irradiance and temperature. To solve such uncertainty, the fuzzy logic control-based intelligent maximum power point tracking (MPPT) method is observed to be more suitable as compared with conventional algorithms in PV systems. In this paper, an isolated PV system using a push pull converter with the fuzzy logic-based MPPT algorithm is presented. The proposed methodology optimizes the output power of PV modules and achieves isolation with high DC gain. The DC gain is inverted into a single phase AC through a closed loop fuzzy logic inverter with a low pass filter to reduce the total harmonic distortion (THD). Dynamic simulations are developed in Matlab/Simulink by MathWorks under linear loads. The results show that the fuzzy logic algorithms of the proposed system efficiently track the MPPT and present reduced THD.

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