scholarly journals Automatic and Online Detection of Rotor Fault State

2018 ◽  
Vol 7 (1) ◽  
pp. 43 ◽  
Author(s):  
Ali Ouanas ◽  
Ammar Medoued ◽  
Salim Haddad ◽  
Mourad Mordjaoui ◽  
D. Sayad
Keyword(s):  
Induction Motor ◽  
Dimensional Space ◽  
Operating Conditions ◽  
Online Detection ◽  
K Nearest Neighbor ◽  
Simple Method ◽  
Important Place ◽  
Motor Test ◽  
Wide Range ◽  
Fault State

In this work, we propose a new and simple method to insure an online and automatic detection of faults that affect induction motor rotors. Induction motors now occupy an important place in the industrial environment and cover an extremely wide range of applications. They require a system installation that monitors the motor state to suit the operating conditions for a given application. The proposed method is based on the consideration of the spectrum of the single-phase stator current envelope as input of the detection algorithm. The characteristics related to the broken bar fault in the frequency domain extracted from the Hilbert Transform is used to estimate the fault severity for different load levels through classification tools. The frequency analysis of the envelope gives the frequency component and the associated amplitude which define the existence of the fault. The clustering of the indicator is chosen in a two-dimensional space by the fuzzy c mean clustering to find the center of each class. The distance criterion, the K-Nearest Neighbor (KNN) algorithm and the neural networks are used to determine the fault type. This method is validated on a 5.5-kW induction motor test bench.Article History: Received July 16th 2017; Received: October 5th 2017; Accepted: Januari 6th 2018; Available onlineHow to Cite This Article: Ouanas, A., Medoued, A., Haddad, S., Mordjaoui, M., and Sayad, D. (2017) Automatic and online Detection of Rotor Fault State. International Journal of Renewable Energy Development, 7(1), 43-52.http://dx.doi.org/10.14710/ijred.7.1.43-52

An Investigation of the Sources of Blowby in Single-Cylinder Supercharged Diesel Engines

1978 ◽  
Vol 192 (1) ◽  
pp. 39-48 ◽  
Author(s):  
B. Bull ◽  
M. A. Voisey
Keyword(s):  
Carbon Dioxide ◽  
Diesel Engines ◽  
Piston Ring ◽  
Carbon Dioxide Concentration ◽  
Operating Conditions ◽  
Exhaust Valve ◽  
Simple Method ◽  
Single Cylinder ◽  
Carbon Dioxide Concentrations ◽  
Wide Range

Measurements of carbon dioxide concentrations in the exhaust and in the crankcase of two different types of single-cylinder, supercharged diesel engines have been used to determine the amount of exhaust gas reaching the crankcase as piston ring blowby and as leakage through the exhaust valve stem-to-guide clearance. Over a wide range of operating conditions in both engines the carbon dioxide concentration was found to be more dependent on engine fuelling rate per hour than on fuel input per stroke. It was established that blowby through the exhaust valve guide was a major contributor to crankcase contamination. A simple method has been devised, requiring only minor modifications to the engine, that permits the blowby through the piston ring pack and the exhaust valve guides to be determined separately in turbocharged production engines.

scholarly journals A STUDY OF MRAS BASED SPEED ESTIMATION OF SENSORLESS INDUCTION MOTOR USING MATLAB AND SIMULINK MODELLING

2019 ◽  
pp. 246-256
Author(s):  
Surya Prakash Pattanayak ◽  
Divya Prakash Pattanayak
Keyword(s):  
Induction Motor ◽  
Reference Model ◽  
Operating Conditions ◽  
Torque Control ◽  
Speed Estimation ◽  
Field Orientation ◽  
Common Trend ◽  
Model Reference Adaptive System ◽  
Wide Range ◽  
Model Reference Adaptive

Model reference adaptive system(MRAS) based techniques are one of the best method to estimate the rotor speed due to its performance and straight forward stability approach.These techniques use two different models which have made the speed estimation a reliable scheme especially when the variations.The scheme use the stator equation and rotor equation as the reference model and the adjustable model respectively.The output error from both models is tuned using a PI controller yielding the estimated rotor speed.It presents the identification and parameter estimation of an induction motor model with parameters varying as functions of the operating conditions. A Sensorless torque control system for induction motors is developed. The system allows for fast and precise torque tracking over a wide range of speed.The induction motor is controlled through field orientation techniques that require knowledge of the rotor speed.Since speed sensors decrease the reliability of a drive system (and increase its price), a common trend in motor control is to use an observer to estimate speed.

scholarly journals Sensor less Speed Estimation of an Foc Induction Motor Drive using Mras Speed Controller and Fuzzy Current Controller

2019 ◽  
Vol 8 (10) ◽  
pp. 4657-4661
Keyword(s):  
Induction Motor ◽  
Reactive Power ◽  
Motor Drives ◽  
Operating Conditions ◽  
Induction Motor Drives ◽  
Speed Controller ◽  
Current Controller ◽  
Wide Range ◽  
Rotor Flux ◽  
Speed Estimator

This paper mainly presents fuzzy current controller depending on speed estimator of MRAS with field oriented controlled induction motor drives. This paper consists of three main techniques used for configurations of MRAS speed estimators that is Rotor Flux, Back - EMF and Instantaneous Reactive power. The MRAS estimators are then included into a direct field oriented controller and also a comparison is done between PI and fuzzy current controllers completely tested on MATLAB/SIMULINK. The resulting controller achieves an acceptable level of execution over wide range of good operating conditions

scholarly journals Error-reduction approach for corrosion measurements of pipeline inline inspection tools

2018 ◽  
Vol 52 (1-2) ◽  
pp. 28-36 ◽  
Author(s):  
Yaman Hamed ◽  
A’fza Shafie ◽  
Zahiraniza Mustaffa ◽  
Naila Rusma
Keyword(s):  
Nearest Neighbor ◽  
Kernel Functions ◽  
Operating Conditions ◽  
Measuring Error ◽  
Calibration Model ◽  
System Failure ◽  
K Nearest Neighbor ◽  
Simple Method ◽  
Calibration Models ◽  
Pipeline Wall

Inline inspection tools that are used to scan the interior defects of gas and oil pipelines tend to suffer from measuring error due to their sizing accuracy. This error often causes an over- or under-estimation of the operating conditions of the pipeline, which might lead to a system failure. While parametric calibration models provide a simple method to reduce the measuring error, it is limited to datasets that follow the normal distribution only. Thus, in this paper, a non-parametric calibration model based on k-nearest neighbor interpolation was proposed to improve the measurements recorded by the scanning tools. Corrosion data collected using an ultrasonic scan device and the magnetic flux leakage intelligent pig are considered in the research. The k-nearest neighbor interpolation is studied based on the effect of using six kernel functions with two different positioning approaches on the interpolation behavior. The results have shown enhancement in the accuracy of the readings obtained from the intelligent pig from ±20% of the pipeline wall thickness to only ±8%. This enhancement in the sizing accuracy is meant to prevent a possible system failure for using the corroded part of the studied pipeline for an extra 4.6 years instead of replacing it.

scholarly journals Fast Response Three Phase Induction Motor Using Indirect Field Oriented Control (IFOC) Based On Fuzzy-Backstepping

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Rizana Fauzi ◽  
Dedid Cahya Happyanto ◽  
Indra Adji Sulistijono
Keyword(s):  
Induction Motor ◽  
Speed Control ◽  
Fast Response ◽  
Field Oriented Control ◽  
Motor Speed ◽  
Electric Cars ◽  
Electric Car ◽  
Motor Test ◽  
Wide Range ◽  
Indirect Field Oriented Control

Induction Motor in Electrical drive system at a accelleration speed for example in electric cars have a hard speed setting is set on a wide range, causing an inconvenience for motorists and a fast response is required any change of speed. It is necessary for good system performance in control motor speed and torque at low speed or fast speed response, which is operated by Indirect Field Oriented Control (IFOC). Speed control on IFOC methods should be better to improving the performance of rapid response in the induction motor. In this paper presented a method of incorporation of Fuzzy Logic Controller and Backstepping (Fuzzy-Backstepping) to improve the dynamically response speed and torque in Induction Motor on electric car, so we get smoothness at any speed change and braking as well as maximum torque of induction motor. Test results showed that Fuzzy-Backstepping can increase the response to changes speed in electric car. System testing is done with variations of the reference point setting speed control system, the simulation results of the research showed that the IFOC method is not perfect in terms of induction motor speed regulation if it’s not use speed control. Fuzzy-Backstepping control is needed which can improve the response of output, so that the induction motor has a good performance, small oscillations when start working up to speed reference.Keywords: Fuzzy-Backstepping, IFOC, induction motor

Forced Aeration Composting

1983 ◽  
Vol 15 (1) ◽  
pp. 169-180 ◽  
Author(s):  
George B Willson
Keyword(s):  
Agricultural Research ◽  
Land Application ◽  
Operating Conditions ◽  
Moisture Removal ◽  
Simple Method ◽  
Wide Range ◽  
Design Requirements ◽  
Forced Aeration ◽  
Density Population ◽  
Pilot Tests

Composting enhances the acceptability of sewage sludge for land application especially in high density population areas. A relatively simple method of forced-aeration pile composting was developed at the Beltsville Agricultural Research Center. Pilot tests of full scale composting were conducted to determine process control and facility design requirements. The amount of bulking materials needed to condition the sludge for composting is related to the percentage of sludge solids. Aeration is discussed as it relates to oxygen consumption, temperature control and moisture removal. The process is readily adaptable to many operating conditions, to a variety of materials, and to a wide range of levels of compost production.

scholarly journals Robust Speed Controller Design Using H_infinity Theory for High-Performance Sensorless Induction Motor Drives

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 961 ◽  
Author(s):  
Ahmed A. Zaki Diab ◽  
Abou-Hashema M. El-Sayed ◽  
Hossam Hefnawy Abbas ◽  
Montaser Abd El Sattar
Keyword(s):  
Induction Motor ◽  
Controller Design ◽  
Dynamic Performance ◽  
Motor Drives ◽  
Operating Conditions ◽  
Motor Speed ◽  
Induction Motor Drives ◽  
Control Scheme ◽  
Wide Range ◽  
Speed Accuracy

In this paper, a robust speed control scheme for high dynamic performance sensorless induction motor drives based on the H_infinity (H) theory has been presented and analyzed. The proposed controller is robust against system parameter variations and achieves good dynamic performance. In addition, it rejects disturbances well and can minimize system noise. The H controller design has a standard form that emphasizes the selection of the weighting functions that achieve the robustness and performance goals of motor drives in a wide range of operating conditions. Moreover, for eliminating the speed encoder—which increases the cost and decreases the overall system reliability—a motor speed estimation using a Model Reference Adaptive System (MRAS) is included. The estimated speed of the motor is used as a control signal in a sensor-free field-oriented control mechanism for induction motor drives. To explore the effectiveness of the suggested robust control scheme, the performance of the control scheme with the proposed controllers at different operating conditions such as a sudden change of the speed command/load torque disturbance is compared with that when using a classical controller. Experimental and simulation results demonstrate that the presented control scheme with the H controller and MRAS speed estimator has a reasonable estimated motor speed accuracy and a good dynamic performance.

An Experimental and Theoretical Study on Cavitating Cascades and Their Application to Cavitating Propellers

1985 ◽  
Vol 29 (01) ◽  
pp. 23-38
Author(s):  
Okitsugu Furuya ◽  
Shin Maekawa
Keyword(s):  
Experimental Data ◽  
Three Dimensional ◽  
Operating Conditions ◽  
Two Dimensional ◽  
Simple Method ◽  
Cascade Theory ◽  
Wide Range ◽  
Line Theory ◽  
Lifting Line ◽  
Lifting Line Theory

In order to develop an analytical tool for predicting the off-design performance of supercavitating propellers over a wide range of operating conditions, a lifting-line theory was combined with a two-dimensional supercavitating cascade theory. The results of this simple method provided fairly accurate predictions for the performance at fully developed cavitating conditions. It was indicative that the fully developed supercavitating (s/c) propellers had strong cascade effects on their performance, and also that the three-dimensional propeller geometry corrections could properly be made by the lifting-line theory. However, the predicted performance with this propeller theory showed a significant deviation from experimental data in the range of J's larger than Jdesign, where partially cavitating conditions are expected to occur. Effort was then made on improving the prediction capability of the above propeller theory at partially cavitating (p/c) conditions. A new nonlinear partially cavitating cascade theory was then developed to provide a proper 2-D loading basis under such conditions. Two-dimensional cascade experiments were then conducted to prove the accuracy of the p/c and s/c cascade theories. The measured forces and flow observations obtained in these experiments shed a new light on the relationship between the forces and cavitation numbers at small angles of incidence. Corrected lift and drag forces were then used in the propeller program. The calculated results for KT and KQ with the new force data successfully correlated with the experimental data, now covering a large J-range where the partially cavitating conditions exist.

scholarly journals Flame Transfer Functions and Dynamics of a Closely Confined Premixed Body Stabilised Flame with Swirl

2021 ◽  
Author(s):  
Håkon Tormodsen Nygård ◽  
Nicholas Worth
Keyword(s):  
Transfer Functions ◽  
Time Lag ◽  
Operating Conditions ◽  
Flame Height ◽  
Time Lags ◽  
Simple Method ◽  
Temporal Shift ◽  
High Frequencies ◽  
Flame Dynamics ◽  
Wide Range

Abstract The Flame Transfer Function (FTF) and flame dynamics of a highly swirled, closely confined, premixed flame is studied over a wide range of equivalence ratios and bulk velocities at a fixed perturbation level at the dump plane. The operating conditions are varied to examine the ratio of flame height to velocity in scaling the FTF. The enclosure geometry is kept constant, resulting in strong flame-wall interactions for some operating conditions due to varying flame height. The resulting effect on the FTF due to changes in the "effective flame confinement" can therefore be studied. For sufficiently high equivalence ratio, and the resulting sufficiently small effective confinement, modulations of the FTF are observed due to interference of the perturbations created at the swirler and at the dump plane. The small length scales and high velocities results in modulations centered at high frequencies and spanning a wide range of frequencies compared to previous studies of similar phenomena. A critical point was reached for increasing effective confinement, where the modulations are suppressed. This is linked to a temporal shift in the heat release rate where the flame impinges on the combustion chamber walls. The shift reduced the expected level of interference, demonstrating effective confinement is important for the FTF response. Additionally, a Distributed Time Lag (DTL) model with two time lags is successfully applied to the FTFs, providing a simple method to capture the two dominant time scales in the problem, recreate the FTF and examine the effect of effective confinement.

Comparison of Deterministic and Linear Cosine Spatial Filtering of Transmission Electron Micrographs

1972 ◽  
Vol 30 ◽  
pp. 596-597
Author(s):  
David A. Ansley
Keyword(s):  
Spherical Aberration ◽  
Focal Length ◽  
Chromatic Aberration ◽  
Spatial Filter ◽  
Operating Conditions ◽  
Objective Lens ◽  
List Type ◽  
Spatial Filters ◽  
Transmission Electron ◽  
Wide Range

The coherence of the electron flux of a transmission electron microscope (TEM) limits the direct application of deconvolution techniques which have been used successfully on unmanned spacecraft programs. The theory assumes noncoherent illumination. Deconvolution of a TEM micrograph will, therefore, in general produce spurious detail rather than improved resolution.A primary goal of our research is to study the performance of several types of linear spatial filters as a function of specimen contrast, phase, and coherence. We have, therefore, developed a one-dimensional analysis and plotting program to simulate a wide 'range of operating conditions of the TEM, including adjustment of the:(1) Specimen amplitude, phase, and separation(2) Illumination wavelength, half-angle, and tilt(3) Objective lens focal length and aperture width(4) Spherical aberration, defocus, and chromatic aberration focus shift(5) Detector gamma, additive, and multiplicative noise constants(6) Type of spatial filter: linear cosine, linear sine, or deterministic

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