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Induction motors are used worldwide as the “workhorse” in industrial applications. Although, these electromechanical devices are highly reliable, they are susceptible to many types of faults. Such fault can became catastrophic and cause production shutdowns, personal injuries, and waste of raw material. However, induction motor faults can be detect...
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Citations
... The protection can be achieved through an alarm before it is going to trip with the help of sensitive protection relay; however it is insecure and risky as it may lead to false alarm and also less confident method for condition monitoring [3]. Therefore, for exact condition monitoring it is must to evaluate those parameters which will furnish desirable information leading towards failure, so that maintenance work can be applied before any serious damage occurs. ...
... This alteration in air gap affects shaft dynamics causing more vibration. Bearing is also damaged if current is flowing in the stator shaft [3]. ...
The induction machine is a critical component in various industrial applications, and its reliable operation is paramount for uninterrupted processes. To ensure the continuous performance and prevent unexpected failures, the implementation of an effective health monitoring system is imperative. In this study, we propose a novel approach to monitor the health of induction machines using computational intelligence techniques. The proposed system integrates advanced computational intelligence algorithms, including machine learning and signal processing methods, to analyze the operational data and identify potential faults or anomalies in the induction machine. Specifically, we employ techniques such as artificial neural networks, support vector machines, and genetic algorithms to process the sensor data acquired from the induction machine. The health monitoring system operates in real-time, continuously analyzing various parameters such as current, voltage, temperature, and vibration patterns to detect deviations from normal operating conditions. By establishing baseline performance profiles and employing pattern recognition algorithms, the system can identify early signs of degradation or impending failures, allowing for proactive maintenance interventions. Moreover, the proposed system offers flexibility and scalability, enabling adaptation to different types of induction machines and operating environments. It facilitates remote monitoring capabilities, enabling maintenance personnel to access real-time health status and diagnostic information from anywhere, facilitating timely decision-making and proactive maintenance strategies.
... Gambar 1. Skema Motor induksi tiga fasa (Sumber : Silva, 2006) Karena mudah dioperasikan, terjangkau, serbaguna, dan dapat dihubungkan langsung ke sumber listrik AC, motor induksi merupakan jenis motor yang sering digunakan pada berbagai peralatan industri. Seperti yang telah di tunjukkan pada Gambar 1, stator motor induksi menerima listrik, menciptakan medan magnet yang menggerakkan operasi motor. ...
Motor listrik bolak balik adalah salah satu jenis motor induksi 3 fasa yang memiliki kemampuan untuk menghasilkan energi mekanik dari energi listrik. Konveyor menggunakan motor induksi 3 fasa. Pada dasarnya, ketika terdapat perubahan pada beban, kecepatan motor juga akan berubah. Karena itu, tegangan dan frekuensi harus diatur untuk memastikan kecepatan tetap konstan. Tujuan penelitian ini adalah merancang pengendalian logika fuzzy untuk sistem pengendalian kecepatan yang digunakan untuk motor induksi tiga fasa yang bekerja sebagai penggerak konveyor. Tahap dalam penelitian ini yaitu perancangan fuzzy logic controller, perancangan simulasi menggunakan software matlab dan pengujian respon sistem dengan controller dan tanpa controller. Software yang digunakan adalah Matlab 2019b untuk perancangan fuzzy logic controller dan perancangan simulasi serta monitoring dalam bentuk grafik. Perancangan fuzzy logic controller pada motor induksi 3 fasa sebagai penggerak konveyor menggunakan metode Mamdani, parameter masukan logika fuzzy yaitu error dan ∆error dari putaran motor induksi 3 fasa, sedangkan parameter keluarannya adalah frekuensi dari motor induksi 3 fasa. Hasil pengujian dengan beban konstan 100g (0,98 N.cm) menggunakan fuzzy logic controller didapatkan waktu tunak (settling time) pada 0,570 detik pada kecepatan 1793 rpm dan error steady state (Ess) sebesar 0,3889%, Sedangkan hasil pengujian tanpa controller didapatkan waktu tunak (settling time) pada 0,670 detik pada kecepatan 1575 rpm detik dan error steady state (Ess) sebesar 12,5%. Pengaruh fuzzy logic controller untuk pengendali pada motor 3 fasa sebagai penggerak konveyor adalah mempercepat motor induksi menuju kondisi steady state atau waktu tunak (settling time) dan dapat memperkecil error steady state (Ess) pada kecepatan motor induksi 3 fasa. Kata Kunci: motor induksi, sistem kendali, fuzzy logic controller
... The torque and efficiency of the motor both depend on the ratio of the rotor angular velocity to the rotating electric field angular velocity. [13] Highlights in Science, Engineering and Technology ...
In recent years, because the capacitance variable type has a series of advantages such as simple structure, low cost, a slight loss, and is suitable for ultra-high temperature and strong magnetic field, researchers have been conducting continuous research on electrostatic motors. The authors are studying hardware neural networks (HNN) by the electrostatic motor that is the new actuator of the microrobot in previous research to control the microrobot's locomotion. In another article, they simulated the motion trajectories and motor output was analyzed for different operation speeds in different liquid viscosities and how they impact the output performance of a motor. In this article, the authors will introduce the current research status of the latest electrostatic motor in recent years and propose the development trend of capacitive variable electrostatic motor research.
... Induction motors are electromechanical equipment used in various industrial applications to convert electrical power into mechanical energy [1]- [3]. Induction motors are used in multiple fields such as in power generation, paper industry, oil fields and factories. ...
This paper discusses the analysis of the performance of an induction motor using the motor current signature analysis (MCSA) technique. Induction motor is a type of electric machine that is widely used in industry. One of the industries that utilize induction motors is a steam power plant (SPP). The role of induction motors is very vital in SPP operations. Therefore, it is necessary to monitor the performance, stability, and efficiency to anticipate disturbances that can cause damage or decrease the life of the induction motor. MCSA is a reliable technique that can be used to analyze damage to an induction motor. In this technique, the induction motor current signal is detected using a current transducer. The signal is then passed on to the signal conditioning and then into the data acquisition device. The important signal data is analyzed in adequate computer equipment. The results of this analysis determine the condition of the induction motor, whether it is normal or damaged. In this research, a case study was carried out at the Rembang steam power plant, Central Java, Indonesia. The results of the analysis of several induction motors show that most of them are in normal conditions and are still feasible to operate.
... This type of AC motor is designed to operate on single phase AC supply or on three phase AC supply and accordingly that the induction motors called single phase IM (SPIM) and 3-phase induction motor (TPIM) [1,2]. Almost 95% of the motors used in industries are TPIM due to their features than SPIM and other types of machines [3,4,5]. The different faults which are usually happen in TPIM are electrical faults such us, stator and rotor faults. ...
p>The paper presents the description for diagnostic methods of induction motor's stator windings fault. The presented methods use Frequency Response Analysis (FRA) technique for detection of Winding Faults in Induction Motor . This method is previously reliable method for faults diagnosis and detection in many parts of transformers including transformer windings. In this paper, this method was used for motor windings faults detection. This paper presents the FRA response interpretation on internal short circuit (SC) fault at stator winding on three cases studies of different three-phase induction motors (TPIM), were analysed according to two status: healthy induction motor at normal winding status and same motor with windings shorted of main windings. A conclusion of this paper provides the interpretation of and validation the FRA response due to internal SC fault case by using NCEPRI algorithm, which is considered as one of certified statistical indicators. The proposed method in this paper had a useful result for detect and diagnosis of stator windings faults of TPIM. The applications of developed method can be used to detece the other machines types faults.</p
... TPIM are also commonly used in manufacturing of commercially available equipment. In which almost 95% of the motors used in industries are TPIM due to its features compared to other types of rotating machines [1], [2], [3]. The major reasons behind using of TPIM applications are performance, efficiency, reliability and safety. ...
... Electrical machines are electromechanical energy converting equipment using electromagnetic forces. They are broadly classified as motors and generators, (Aderiano, 2006). An electrical motor can either be a synchronous motor or asynchronous (induction) motors. ...
This paper modeled the eccentricity in three-phase induction motors and the accompanying performance. The geometry of three-phase asynchronous induction motor was utilized to calculate dynamic electromagnetic torque and inductances for the purpose of performance improvement. The position-dependent variation of the mechanical energy was applied to the rotor through the air gap which generates the mutual inductance across the stator-rotor circuitry. The entire six-by-six inductance matrix modelled for the non-concentric three-phase induction motor was analytically differentiated and used to model the torque equation for the eccentric motor. The approach was simulated in MATLAB and ratified with an eccentricity degree of zero (non-existent) which tallied and rhymed with that gotten for a healthy induction motor. Results obtained show that an eccentric motor rotor does not accelerate uniformly, but glitches and flickers intermittently until it attains a maximum speed of about 320 rad/sec, whereas for the healthy motor, the rotor accelerates uniformly from rest to peak giving rise to a load-less motor speed of 0.33sec. For eccentricity degrees greater than 0.7, the air gap function for a non-concentric three-phase induction motor goes higher than 1.0 at some points and hits zero at lowest values thereby validating that the displacement of the rotor position from the normal is directly proportional to the degree of eccentricity.
... Ketika beban ditambahkan pada saat motor induksi dijalankan akan memperbesar kopel motor, maka dapat memperbesar pula arus induksi pada motor. Sehingga slip antara medan putar stator dan putaran rotor pun akan bertambah besar [7]. ...
Broken rotor bar is a kind of induction motor damage which cause serious problems. It reaches 5%-10% of all cases of induction motor faults. Therefore it is necessary to have an early diagnosis to find out the disturbance in the induction motor, so that it can be repaired more severe damage occurs. This study discusses the rotor shaft damage detection using the induction motor stator current analysis. The method used is fast fast Fourier transform as an analysis to detect the damage through frequency so that it is able to detect the motor in a healthy or damaged condition. System testing is carried out in several conditions. In addition, the condition of the rotor bar is given a defect, start form 1 BRB until 3 BRB. The test results of this test prove that the fast Fourier transform method is able to detect the differences conditions on normal induction motor or broken on the rotor bar. Abstract-Kerusakan batang rotor merupakan salah satu jenis kerusakan pada motor induksi yang dapat menyebabkan masalah serius. Kerusakan tersebut dapat mencapai 5%-10% dari seluruh kasus gangguan motor induksi. Oleh karena itu perlu adanya prediksi awal untuk mengetahui adanya gangguan pada motor induksi, agar dapat dilakukan perbaikan lebih cepat dan tanggap sebelum terjadi kerusakan yang lebih parah. Pada penelitian ini membahas tentang deteksi kerusakan batang rotor motor induksi dengan menggunakan analisa arus stator. Metode yang digunakan adalah fast fourier transform sebagai analisa untuk mendeteksi kerusakan melalui frekuensi sehingga mampu mendeteksi motor dalam keadaan sehat atau mengalami kerusakan. Pengujian sistem dilakukan dalam beberapa kondisi, yaitu kondisi tanpa beban dan berbeban. Selain itu kondisi batang rotor diberi kecacatan mulai 1 BRB hingga 3 BRB. Hasil pengujian ini membuktikan bahwa metode fast fourier transform mampu mendeteksi perbedaan kondisi pada motor induksi normal ataupun rusak pada batang rotor. Kata Kunci : Motor Induksi, kerusakan Batang Rotor, Fast Fourier Transform.
... Nowadays, almost 70-80% of industrial applications have used induction motors as the main driving component of the production process. induction motor damage causes important problems for users, especially if used in industries that can cause production process to stop [1][2]. Based on surveys conducted by Electric Power Research Institute (EPRI) on 6312 motors and IEEE-IAS Motor Reability Working Group on 1.141 motors almost 41-44% induction motor damage occurs in the bearing [3][4][5]. ...
... Bearing construction consists of 4 important parts, outer race bearing, inner race bearing, balls and cages. Each part has its own function to make the rotor spin freely [2]. Bearing construction can be seen in Fig 1. ...
... Damage that occurs in induction motor bearings has a different frequency of bearing demage depending on the type of bearing damage. The frequency for each type of bearing damage can be seen in the equation (2)(3)(4)(5) [15]. ...
... Using day by day, induction motor can experience to get an old natural process. Usually to detect faults in the machine by monitoring the vibrations of high frequency and terminal current components over a period of time, there can be made an observation by detecting rotor eccentricity [1]. Some faults which often damage the rotor induction motor among other are bearing damage or eroded rotor rod and eccentricity on the air gap. ...
... Some faults which often damage the rotor induction motor among other are bearing damage or eroded rotor rod and eccentricity on the air gap. For the air gap eccentricity, there is an eccentricity Rotor in the induction motor which is divided into two static forms of eccentricity (where the rotor is displaced from the stator bore center, but it is still turning upon its own axis) and dynamic eccentricity (where the rotor is still turning upon the stator bore center but not on its own center) [1] can be seen in the figure1. The cause of the rotor rising eccentricity is the incorrect bearing position during the assembly, the inlet, the rotor axle bent, the operation at the critical speed of the "vortex" rotor, and others. ...
... The cause of the rotor rising eccentricity is the incorrect bearing position during the assembly, the inlet, the rotor axle bent, the operation at the critical speed of the "vortex" rotor, and others. The eccentricity causes a force on the rotor that tries to pull the rotor away from the center of the stator bore stable in one direction [1].Therefore, the rotor diagnosis of eccentricity is desirable to prevent serious operational problems. Figure 1 Air gap: a) normal (concentric), b) static eccentricity and c) dynamic eccentricity [2] Motor Current Signature Analysis (MCSA) is the detection of electrical signals that contain a direct current component. ...
