Motor Starting Research Articles

Analytical voltage drop calculations during direct on line motor starting: Solutions for industrial plants

Electrical motors in modern industrial systems are becoming larger due to the requirements of heavy application. Some electric motors are considered large even when compared to the total load capacity of the industrial plant. Starting electrical motors can cause severe disturbances to the motor, other locally connected loads, and also buses electrically remote from the point of motor starting. Ideally, a motor starting study should be made before a large motor is connected to an industrial electrical system to take proper remedial solutions when necessary. The static and dynamic analyses are used to study the effect of electric motor characteristics on the industrial power system. The most well-known and studied effect of motor starting is the voltage drop experienced throughout an industrial power system directly resulting from starting large motors. In this study, the effect of voltage fluctuation on the power system has been evaluated, voltage drop during motor starting is formulated, and applied to the industrial electrical system using motor ratings and previously calculated short circuit power. Although there are various computer-aided studies for motor starting, this study will benefit those who require simplified and accurate voltage drop checking during motor starting by using an available and reachable motor, transformer, and calculated short circuit power. In order to verify the applicability of the theoretical formulation, containing’s motor, transformer, the calculated short circuit power of the distribution network, the percentage voltage drops over the fifteen different operation modes have been calculated for an industrial plant in the numerical study.

The Application of The Teams Assisted Individualization (TAI) Learning Model to Improve Learning Outcome of The Starter Motor Electrical System in VHS

The objectives of the study were: to determine (1) the application of the TAI (Team Assisted Individualization) learning model to the Motor Starter Electrical System learning in SMK; (2) whether there is an increase in learning outcomes and the percentage of student graduation in the Motor Stater Electrical System learning with the application of the TAI (Team Assisted Individualization) learning model in SMK; (3) how much is the increase in learning outcomes and the percentage of student graduation in the Motor Stater Electrical System learning after the application of the TAI (Team Assisted Individualization) learning model in SMK. The type of research used is Classroom Action Research. The subjects of this study were students of SMK. Data was collected using observation methods and test instruments. After the data was obtained, it was analyzed using descriptive analysis techniques. From the results of the research, it shows that: (1) The application of learning using a Team Assisted Individualization (TAI) cooperative model is carried out in the planning, action and closing stages. (2) The implementation of learning using the Team Assisted Individualization (TAI) type cooperative model can improve student learning outcomes, (3) in the initial conditions the percentage of student graduation is 33.33% with an average score of 60.55 to 58.33% in the first cycle with an average value of 69.02 and 94.44% in the second cycle with an average value of 78.47. So there is an increase in the average value of student learning outcomes by 9.45 and there is an increase in the percentage of student graduation by 36.11%.

ANALYSIS OF THE INFLUENCE OF STAR DELTA SYSTEM IN REDUCE ELECTRIC STARTING SURGE IN 3 PHASE MOTORS

Operations in the industry today use induction motors. There are several types of induction motors, one of which is a 3-phase induction motor. In the use of a 3-phase induction motor, there are several problems at the beginning, one of which is that there is a current surge in the starting received by the windings or rotor of a 3-phase induction motor which will cause damage to the motor windings. In previous research, research has been carried out to reduce electric starting spikes in 3 phase motors by lowering the frequency in a study entitled "Adjusting the Speed ​​of a 3 Phase Induction Motor by Changing the Frequency Using the ALTIVAR 12P Inverter" it was found that the frequency of the regulated voltage was low and stable to minimize inrush current in 3-phase motor starting. Therefore, research was conducted on a system that can reduce these problems, namely the use of a star-delta system on a 3-phase motor to reduce electrical starting spikes in a 3-phase motor. In this study, the electric current value was 0.59 A, the star-circuit voltage value was 219.65 V, and the short-circuit current value was 1.01 A.

0807 Sleep-related hiccups: A case report of antidepressant associated hypnic jerks

Abstract Introduction A hiccup is a sudden activation of inspiratory muscles, followed by paradoxical glottic closure, producing a familiar sound [1]. Antidepressants are commonly prescribed and hypnic jerks and hiccups have been reported as a rare adverse drug reaction [2]. Few reports have described pronounced hypnic hiccups with subsequent audio/video polysomnogram confirmation. Report of Cases: A 44-year old man with a history of depression, anxiety, and alcohol use disorder presented to clinic with a long history of violent hypnic jerks associated with a loud hiccup. These episodes started 30 minutes before he fell asleep and continued throughout the night every 30 minutes with forceful hiccups that were so loud they wake others in his house. We believe that these episodes were likely induced by venlafaxine since they were noted initially 8 years ago when he started taking venlafaxine and there was complete remission after discontinuation of the medication. He was later prescribed escitalopram 20 mg daily, restarted on venlafaxine XR 150 mg daily, and later sertraline 100 mg daily due to refractory depression and anxiety recurrence. Episodes progressively became more frequent and pronounced that he avoided sleep and they impacted his ability to hold a relationship. Gabapentin and clonazepam did not previously improve symptoms. He took trazodone 50 mg every other night to aid falling asleep and reported to have less frequent hypnic jerks. Upon presentation to our clinic, subsequent PSG demonstrated severe obstructive sleep apnea (AHI 63, HI 52, CI 11) with significant sleep fragmentation (sleep efficiency 46%) with very frequent sudden axial myoclonic contractions with head and neck movements along with vocalizations likely representing hiccups. Video and audio demonstrated the loud hiccups described. These events occurred while the patient was resting awake and transitioning to sleep and was less frequent but persisted in N2. The patient was prescribed CPAP for sleep apnea and recommended to follow up with psychiatry to consider other medications. Conclusion Pronounced hypnic jerks and sleep-related hiccups can significantly impact total sleep time, sleep quality, and quality of life. Clinicians should be aware of these potential side effects in patients on antidepressants. Support (If Any) 1. Askenasy JJ. About the mechanism of hiccup. Eur Neurol. 1992;32:159-63.2. Bagheri H, Cismondo S, Montastruc JL. Hoquet d'origine médicamenteuse: enquête à partir de la Banque Nationale de Pharmacovigilance [Drug-induced hiccup: a review of the France pharmacologic vigilance database]. Therapie. 1999 Jan-Feb;54(1):35-9. French. PMID: 10216420.

0144 Identification of sleep factors related to blood pressure in emergency medicine healthcare workers

Abstract Introduction Emergency Department (ED) healthcare workers (HCWs) may be at elevated risk for the development of cardiovascular disease (CVD), due in part to sleep and/or circadian disturbances. This study aimed to evaluate the relationship of sleep factors with blood pressure, a primary marker of CVD risk, in ED HCWs. Methods Participants were HCWs (physicians, nurses, advanced practice providers, technicians, etc.) from 4 EDs in New York City who completed study procedures between November 2020-October 2021. Participants completed a 2-week data burst, which included sleep/activity (Fitbit Inspire) and home blood pressure monitoring (Omron 5 Series BP7250; preceding and following their main daily sleep episode). Linear regression models, adjusted for age, gender, and race/ethnicity, were conducted predicting blood pressure from sleep factors. Results The sample included n=74 ED HCWs (mean [SD] age=38.4 [8.7] years). Most were female (62.2%) and non-Hispanic/Latino White (55.6%). Mean systolic blood pressure (SBP) and diastolic blood pressure (DBP) were 116.1 (12.5) mmHg and 75.1 (7.6) mmHg, respectively. Actigraphy-derived sleep factor means for the data burst period were: a) Total sleep time (TST): 6.8 (1.0) hours; b) Sleep efficiency (SE): 94.5 (2.2)%; c) Percentage of main sleep episodes throughout the burst with TST <6 hours: 25.9 (20.8)%; d) Sleep start time: 24:06 (01:24); and e) Within-subject inter-daily bedtime variability (i.e., SD of sleep start times): 2.4 (1.8) hours. Higher TST was associated with lower SBP (B [SE] =-0.50 [0.30] mmHg/10 min, p=.04) and DBP (B [SE] =-0.50 [0.20] mmHg/10 min, p=.01). Greater SE was associated with lower SBP (B [SE] =-1.23 [0.55], mmHg/%, p=.03) and DBP (B [SE] =-1.05 [0.39], mmHg/%, p=.01). A higher proportion of nights with TST <6 hours was associated with higher DBP (B [SE] =1.4 [0.40], mmHg/10%, p<0.01) but not SBP. Sleep start time and bedtime variability were not associated with BP. Conclusion These findings provide support for the relationship between sleep and blood pressure. Of note, data were collected during the COVID-19 pandemic, which may impact observed relationships. Because this is a cross-sectional analysis, the causal direction of the association may be (at least partially) reversed. Further research should examine psychological and work-related factors in ED HCWs that may modify these relationships, e.g., stress/anxiety, burnout, and job strain, and include assessments of the circadian system. Support (If Any) R01HL146911

Security Assessment of Coal Mine Power Grid Voltage Based on an Improved AHP-FCE

The voltage level of a coal mine power grid directly affects the starting and normal operation of the electric motor, but the current grid monitoring system cannot use real-time grid structure parameters and power flow distribution data to conduct early warning research on the running status and voltage level of the power grid, so it cannot eliminate hidden danger in the operation of the power grid. Therefore, it is necessary to accurately and effectively evaluate the voltage safety level of the coal mine power grid. In this paper, an improved AHP-FCE method is proposed to evaluate the voltage safety level of a coal mine power grid. By replacing the comparison judgment matrix with the interval judgment matrix, the objectivity of the weight vector is improved while retaining expert subjectivity. According to the real-time power flow distribution data of the power grid monitoring system, the current voltage safety level of the power grid is evaluated. The results show that the improved AHP-FCE method can accurately evaluate the current grid voltage level, analyze the voltage development trend, give early warnings regarding coal mine grid voltage operation, and improve the monitoring function of the power monitoring system.

Sleep behavior and chronotype before and throughout pregnancy

Study objectiveTo compare sleep behavior before and during pregnancy. MethodsIn this prospective cohort study, healthy women were followed from pre-pregnancy until delivery. At pre-pregnancy and each trimester, participants completed validated questionnaires of chronotype and sleep quality and timing, including the Munich ChronoType Questionnaire, Epworth Sleepiness Scale, and Pittsburgh Sleep Quality Index. The primary outcomes were sleep period start and end times, sleep duration, sleep midpoint, and social jetlag, compared between pre-pregnancy and each trimester. Wrist actigraphy was used to measure the same outcomes in a subset of participants. ResultsEighty-six women were included in analysis of questionnaires. Of these, 37 provided complete actigraphy data. Questionnaire and actigraphy data indicate that participants had less social jetlag during pregnancy than before pregnancy. Sleep period start times were earlier on both work and free days in the first and second trimesters than pre-pregnancy, and returned to pre-pregnancy times by the third trimester. Actigraphy data revealed that, compared to pre-pregnancy, participants had longer sleep periods in all trimesters on work days and in the first trimester on free days. Sleep surveys revealed that participants had poorer sleep quality in the first and third trimesters and more sleepiness in the first trimester than pre-pregnancy. ConclusionThe first trimester of pregnancy is characterized by earlier sleep period start time, longer sleep duration, and poorer sleep quality than pre-pregnancy. Sleep quality temporarily improves in the second trimester, and sleep period start time returns to pre-pregnancy time by the third trimester. Study rationaleMultiple parameters of sleep have been studied in the context of pregnancy and pregnancy outcomes, but rarely in comparison to pre-pregnancy or longitudinally through pregnancy. Study impactActigraphy and questionnaire data reveal sleep timing and quality change throughout pregnancy. These data on sleep changes in healthy pregnancy can be used as a baseline to identify sleep-related risk factors throughout pregnancy.

Haar-Wavelet-Based Statistical Scanning of Turn Fault in Vehicular Starter Motor

Stator interturn fault is one of the most common faults that affect motor operation. Its failure will not only prevent the vehicle from starting but may also cause other adverse problems. In this letter, an automotive system has first been modeled in MATLAB/Simulink environment. The starter motor used in this system has been simulated to undergo a stepwise interturn fault. For every shorted starter armature coil, the current data were recorded and then wavelet analysis was performed on the gathered data. The wavelet-based parameters variation was determined for every degree of short on the starter stator armature coil. Based on learning, an algorithm has been proposed and then validated with real data to detect the variation in the wavelet parameters and to help determine normal operating conditions, prefault conditions, as well as conditions during fault of the automotive system to help in early detection of starter motor interturn fault. This has been done using a square-shaped Haar wavelet function based on the Hadamard-Haar transform. Such early detection can be very helpful for automotive systems, and if such faults are left unattended, it may result in complete machine failure due to excess heat generation due to the flow of high current in the shorted coils.

Effective ROCOF-Based Islanding Detection Technique for Different Types of Microgrid

This article presents an adaptive rate of change of frequency (ROCOF)-based passive islanding detection technique (IDT) to overcome the non-detection zone (NDZ) issue and limitation of existing IDTs. The proposed ROCOF-based passive IDT relies on the settings of the phase-locked loop (PLL) closed-loop control system for frequency, ROCOF, and threshold ROCOF value for the PCC relay-setting calculations. So, the PLL results in alternate frequency and ROCOF output value with respect to the PLL settings modification. The PLL settings can be different in different types of microgrid systems. Therefore, the proposed adaptive ROCOF-based IDT provides a generic solution for islanding detection applications for the safe and reliable operation of different types of microgrid systems. The adaptive ROCOF-based IDT is developed and implemented on two different types of the microgrid systems such as i) generator-based microgrid ii) generator, PV, and storage-based hybrid microgrid in Matlab/Simpower system. Results showed that the proposed IDT successfully detected the islanding condition even with zero power mismatch and it is fully capable to distinguish between islanding (loss of mains and external fault) and nonislanding (internal fault, load switching, motor starting, etc.) conditions with a diverse range of operating conditions.

SIMULATION OF SPEED CONTROL OF DRIVES : CONTROLLING BY APPLIED VOLTAGE

The induction machine is the work horse of the industry. It has rugged construction and is suitable for many high power applications. Induction motors are the most widely used electrical motors due to their reliability, low cost and robustness. However, induction motors do not inherently have the capability of variable speed operation. Due to this reason, earlier dc motors were applied in most of the electrical drives. But the recent developments in speed control methods of the induction motor have led to their large scale use in almost all electrical drives. Out of the several methods of speed control of an induction such as pole changing, frequency variation, variable rotor resistance, variable stator voltage, constant V/f control, slip recovery method etc., the closed loop constant V/f speed control method is most widely used. In this method, the V/f ratio is kept constant which in turn maintains the magnetizing flux constant so that the maximum torque remains unchanged. During starting of an induction motor,

Over-Current Relays Coordination Including Practical Constraints and DGs: Damage Curves, Inrush, and Starting Currents

In this paper, an integrated optimization model based on Gradient-Based Optimizer (GBO) for overcurrent relays coordination along with the challenging practical constraints is proposed. The current proposed effort aims to facilitate the coordination strategy and minimize the technical problems facing the protection/site engineers. The objective function is adapted to minimize the total operating time of the primary relays (TOT) concurrently with satisfying a set of constraints. The algorithm endeavors to fine-tune the relay tripping curve to avoid the false tripping in the case of motor starting and/or transformer inrush conditions. Bear in mind that the selected optimized settings should guarantee that the relay would operate in less time than the thermal withstand capability time of the protected equipment. The proposed model is examined over the distribution portion of the Qarun petroleum isolated network (located in West desert/Egypt), which presents a practical test case including some scenarios after validating its performance with the IEEE 15-bus network. The proposed complicated optimization problem comprises 128 discrepant inequality constraints for overcurrent relays coordination only having 16 relays with 14 relay pairs. Eventually, GBO demonstrates that it is an efficient algorithm for solving this highly constrained optimization problem by comparing its performance to other robust and well-known algorithms such as particle swarm optimizer (PSO) and water cycle optimizer (WCA). The performance metrics confirm the GBO’s viability over the others. For sake of quantification, (i) for scenario1 of the Qarun test case, the GBO achieves a TOT of 0.7381 s, which indicates 63% and 57% reductions for those obtained by the PSO and WCA, respectively, and (ii) for the 15-bus test case, reductions in the TOT of 14.3% and 16.5% for scenarios 1 and 2, respectively. The proposed tool based on GBO can enhance the protection co-ordination including some practical constraints.

A 4-year longitudinal study investigating the relationship between flexible school starts and grades

The mismatch between teenagers’ late sleep phase and early school start times results in acute and chronic sleep reductions. This is not only harmful for learning but may reduce career prospects and widen social inequalities. Delaying school start times has been shown to improve sleep at least short-term but whether this translates to better achievement is unresolved. Here, we studied whether 0.5–1.5 years of exposure to a flexible school start system, with the daily choice of an 8 AM or 8:50 AM-start, allowed secondary school students (n = 63–157, 14–21 years) to improve their quarterly school grades in a 4-year longitudinal pre-post design. We investigated whether sleep, changes in sleep or frequency of later starts predicted grade improvements. Mixed model regressions with 5111–16,724 official grades as outcomes did not indicate grade improvements in the flexible system per se or with observed sleep variables nor their changes—the covariates academic quarter, discipline and grade level had a greater effect in our sample. Importantly, our finding that intermittent sleep benefits did not translate into detectable grade changes does not preclude improvements in learning and cognition in our sample. However, it highlights that grades are likely suboptimal to evaluate timetabling interventions despite their importance for future success.

Mitigation of voltage sags in distribution line system using static VAR compensator and static synchronous compensator

Voltage sag is one of the power quality disturbances most frequently by customers because it can cause economic loss for the customers especially industries and commercial customers. The main source of voltage sags are faults in transmission and distribution beside two others namely motor large starting and transformer energizing, both the voltage sags have less effect on the equipment. Voltage sags can cause degradation performance of the equipment, and it depends on the magnitude and the duration. The voltage sags that occur in the power system can be compensated with installed Static VAR compensator (SVC) and Static synchronous compensator (STATCOM) in the distribution system bus. The purpose of the study is to compare both types of the device used to mitigate voltage sags in simulation using Alternative transient program (ATP) software. The voltage sag results from the short circuit faults. The method proposes the installation of the two compensator devices alternatively at one of the IEEE thirteen busses systems. The result shows the STATCOM is better than the SVC to handle mitigation of voltage sags compared with the SVC.

The Parasomnias and Sleep Related Movement Disorders—A Look Back at Six Decades of Scientific Studies

The objective of this article is to provide a comprehensive personal survey of all the major parasomnias with coverage of their clinical presentation, investigation, physiopathogenesis and treatment. These include the four major members of the slow-wave sleep arousal parasomnias which are enuresis nocturna (bedwetting), somnambulism (sleepwalking), sleep terrors (pavor nocturnus in children, incubus attacks in adults) and confusional arousals (sleep drunkenness). Other parasomnias covered are sleep-related aggression, hypnagogic and hypnopompic terrifying hallucinations, REM sleep terrifying dreams, nocturnal anxiety attacks, sleep paralysis, sleep talking (somniloquy), sexsomnia, REM sleep behavior disorder (RBD), nocturnal paroxysmal dystonia, sleep starts (hypnic jerks), jactatio capitis nocturna (head and total body rocking), periodic limb movement disorder (PLMs), hypnagogic foot tremor, restless leg syndrome (Ekbom syndrome), exploding head syndrome, excessive fragmentary myoclonus, nocturnal cramps, and sleep-related epileptic seizures. There is interest in the possibility of relationships between sleep/wake states and creativity.

ПУСК ТЯГОВОГО ЭЛЕКТРОДВИГАТЕЛЯ — УНИВЕРСАЛЬНОЕ ТЕСТОВОЕ ВОЗДЕЙСТВИЕ

On the basis of analysis of means and methods for technical diagnostics the authors suggest to use a transient process of no-load starting of electric traction motors as a general-purpose testing action for determination of faults of electrical machines including reasons of bad commutation of motors. The authors have carried out experiments on starting of electric motors of various brands. As a result, they have got oscillograms of voltage of faulty and non-faulty direct current electrical machines precisely described in the paper.

Rhythmicity in heart rate and its surges usher a special period of sleep, a likely home for PGO waves.

High amplitude electroencephalogram (EEG) events, like unitary K-complex (KC), are used to partition sleep into stages and hence define the hypnogram, a key instrument of sleep medicine. Throughout sleep the heart rate (HR) changes, often as a steady HR increase leading to a peak, what is known as a heart rate surge (HRS). The hypnogram is often unavailable when most needed, when sleep is disturbed and the graphoelements lose their identity. The hypnogram is also difficult to define during normal sleep, particularly at the start of sleep and the periods that precede and follow rapid eye movement (REM) sleep. Here, we use objective quantitative criteria that group together periods that cannot be assigned to a conventional sleep stage into what we call REM0 periods, with the presence of a HRS one of their defining properties. Extended REM0 periods are characterized by highly regular sequences of HRS that generate an infra-low oscillation around 0.05 Hz. During these regular sequence of HRS, and just before each HRS event, we find avalanches of high amplitude events for each one of the mass electrophysiological signals, i.e. related to eye movement, the motor system and the general neural activity. The most prominent features of long REM0 periods are sequences of three to five KCs which we label multiple K-complexes (KCm). Regarding HRS, a clear dissociation is demonstrated between the presence or absence of high gamma band spectral power (55–95 Hz) of the two types of KCm events: KCm events with strong high frequencies (KCmWSHF) cluster just before the peak of HRS, while KCm between HRS show no increase in high gamma band (KCmNOHF). Tomographic estimates of activity from magnetoencephalography (MEG) in pre-KC periods (single and multiple) showed common increases in the cholinergic Nucleus Basalis of Meynert in the alpha band. The direct contrast of KCmWSHF with KCmNOHF showed increases in all subjects in the high sigma band in the base of the pons and in three subjects in both the delta and high gamma bands in the medial Pontine Reticular Formation (mPRF), the putative Long Lead Initial pulse (LLIP) for Ponto-Geniculo-Occipital (PGO) waves.

Изменение работоспособности стартерных аккумуляторных батарей при моделировании неисправностей

One of the most common causes of vehicle failures in our country and abroad is battery failure. The main reason for this is a lack of information about changes in the technical condition of the battery, which makes battery faults (including low charge) sudden, causing social and economic damage. Informing the driver of the battery’s state of charge only partially solves the problem, as this parameter does not fully reflect the battery’s state of health. A solution to this problem could be a battery condition monitoring system based on real-time assessment of battery voltage variations. The purpose of this work is to establish the relationship between the battery voltage and the degree of battery performance in the simulation of characteristic faults. Analysis of publications has established that among the most common faults are decrease of charge, sulphation of plates, oxidation of pole terminals and short circuits. To obtain information about changes in battery parameters in the process of occurrence and development of faults simulation methods have been developed. Changes in battery performance due to ageing or faults can be estimated based on the voltage at its terminals under the influence of the load, which is the starter motor in full braking mode. The change of voltage under load for 5 seconds is determined for new batteries, batteries with running hours variation as well as for simulated discharging, oxidation of the terminals and sulphation of the plates. The serviceability of batteries is determined in two ways: by a tester using the battery current for calculations and computationally using the minimum voltage during the loading process. It was found that the state of heath of serviceable working and faulty batteries at the same voltage differs significantly, which can be used to identify the technical condition of starter batteries. The established relationships between the battery voltage and the state of heath in the physical simulation of characteristic faults have scientific novelty. Further research is aimed at developing an algorithm for on-line monitoring of batteries and manufacturing a prototype on-board device for its implementation.

Voltage Sag Source Location in Distribution Networks With DGs Using Cosine Similarity

Power quality disturbances can cause damages to the electrical network’s customers. Therefore, nowadays power quality is considered an essential issue in distribution networks. In this regard, voltage sag is of a lot of significance among power quality disturbances. The first step in the reduction of damages caused by voltage sag is to determine the location of the disturbance source. Furthermore, recent attention to distributed generation (DG) particularly in distribution networks led to the inefficiency of the previous voltage sag source location approaches. In this paper, a new method based on voltage and current measurement data is proposed, in which cosine similarity is used to locate a voltage sag source. In the proposed method, the cosine similarity sign between two data sets is used to identify the relative location of the voltage sag source. Simulation results are presented for different scenarios in the IEEE 33 bus test network. In doing so, various issues including voltage sag source location, voltage sag original type (symmetric/asymmetric short-circuits or motor starting), the fault resistance, the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x/r</i> ratio of the grid lines, DG size, DG location, measurements error, and current transformer saturation are studied in simulations. The simulation results confirm the performance of the proposed method for the voltage sag source locating. Moreover, the comparison with some previous methods shows that the proposed method gives a better response in determination of location of the voltage sags.

Modeling soft start of belt conveyor induction motor

Modeling soft start of belt conveyor induction motor

Investigation of Al & Cu for control, operation and maintenance of starter

The condition monitoring of electrical appliances is categorized as a crucial process. The current research deals with efficient control of electrical appliances, which are far away from the operator and condition monitoring of the connected electrical appliances. The starting of the motor through starter will be controlled using the electrical setup, operated through the Wi-Fi connected to the network through GSM module. As Aluminium & Copper are used in domestic motors and appliances, we explored the properties of these metals for the ease of maintenance, conductivity, reliability and to reduce the cost. The ultimate goal of this research is to carry out controlling and monitoring efficiently and to provide ready to use setup for the mankind. Copper tends to have higher conductivity & consistency compared to aluminium. Copper is the suitable and most appropriate material to be used in three-phase induction motor starter. The required speed is achieved in one minute using Blynk application.This methodology is one of the bests to control and monitor the electrical device with ease. This methodology can reduce many complications in the current day-to-day life. This also overcomes the criticalities such as manual monitoring and longer duration for troubleshooting.