Diagnosis of Air-Gap Eccentricity Fault for Inverter Driven Induction Motor Drives in the Transient Condition
Modelling and Simulation Study of a Helicopter with an External Slung Load System
Comparative Study of Single Phase Power Inverters Based on Efficiency and Harmonic Analysis
Trichotomous Exploratory Data Analysis [Tri–EDA]: A Post Hoc Visual Statistical Cumulative Data Analysis Instrument Designed to Present the Outcomes of Trichotomous Investigative Models
LabVIEW Based Design and Analysis of Fuzzy Logic, Sliding Mode and PID Controllers for Level Control in Split Range Plant
In direct aluminum extrusion, so much work has been accumulated to control the process with respect to such principle element as billet metallurgy, die design, equipment, and process parameters. The objective of this paper is to develop an algorithm that can be used to extract some features from the energy consumption cycle in one billet. The results of the diagnostic analysis can be used to monitor energy consumption and time it takes to extrude one billet. In addition, the developed method can be automated to predict how long the production will be at its maximum and at its minimum. Hence, energy and time can be saved. The work presented here is based on real-data taken from a sensor attached to three pumps at the plant that takes 5 readings every 2 seconds for each pump. That is, a total of 15 readings every 2 seconds. The work presented is for direct-extrusion using 2420 Metric ton capacity. The algorithm detects the boundary points for the regions in the signature. It should be emphasized that the available machine is designed for direct extrusion operations only.
Bearings are the most important part of any machinery used for domestic purpose or in big industries. Accurate working of these machines and devices relies on resistance free running of the bearings. In industrial applications, these bearings act as the most crucial machine component because they have to work under high load and speed; and defects in bearing, until noticed in time, can even lead to failure of the machinery. Therefore, identification of these defects is important for condition monitoring and quality inspection of bearings. Different methods are used for detection and diagnosis of bearing defects; they are classified as vibration measurements, acoustic measurements, temperature measurements, and wear debris analysis. For monitoring the condition and diagnosing the fault that may occur in REB, the vibration analysis technique is widely used because of its reliability and accuracy. In this work, the vibration signal of the REB under the normal and faulty condition from the database of Case Western Reserve University is taken for detailed analysis. Useful data from the raw signal is mined using Time Synchronous Averaging (TSA) and then TSA signal is processed using Discrete Wavelet Transform (DWT). The features of the DWT signal (D3) are extracted and further processed using Feed forward Backpropagation Artificial Neural Network. Moreover, comparison between existing work and this work has been shown.
In today's competitive market, every EPC company aims at building client's trust through each project it executes. One of the best ways to develop this trust is by putting yourself in client's shoe while working on revamp/ brown field projects, where the main intent of client is to safely use the existing facility, instruments, and installation as much as possible in order to reduce capital expenditure. This gives rise to the subject of adequacy check of inline/offline instrument, i.e evaluating if the existing inline/offline instrument shall work under new process conditions or not. This paper describes various steps involved for checking adequacy of existing orifice plates for Revamp / Brownfield projects. Since every project has a significant number of orifice plates, adequacy check of existing orifice is quite essential and can save a huge amount to client in terms of effort hours and installation cost, if existing plate is reused.
Recently, hybrid control systems are occupying the positions of conventional control techniques in the aircraft systems due to their several advantages. Stabilizing, Controlling, and Minimizing the overshoots of the present Aircraft system compared to earlier is quite a challenge. In order to meet the requirements of todays flight control system and also following the investigations of both control and aircraft communities, this paper concentrates on the application of optimal switching control techniques for the lateral flight dynamics of an aircraft control system. The proposed techniques are implemented using MATLAB/SIMULINK platform.
This paper is an attempt to accomplish a performance analysis of the different control techniques on current spike reduction by means of magnetization level control in the primary winding on the medium frequency transformer based DC spot welding system. Current Spike reduction is an important factor to be considered while spot welding systems are concerned. The current control technique is a piecewise linear control technique that is inspired from the DC-DC converter control algorithms to register a novel current spike reduction method in the MFDC spot welding applications. The different controllers that were used for the current spike reduction by means of magnetization level control of the overall applications involve the hysteresis controller, Proportional Integral (PI) controller. Care is taken such that the current control technique would maintain a reduced current spike in the primary current of the transformer while it reduces the Total Harmonic Distortion. In this research, intelligent control system is introduced by using Adaptive Neuro Fuzzy Inference System (ANFIS). The performance of ANFIS controller is presented considering the parameters, percentage of current spike reduction, and THD. It is proved that current spikes are controlled successfully and has less THD than the above mentioned conventional controllers. Matlab/SimulinkTM based simulation is carried out for the MFDC with 220 KVA welding transformer in resistance spot welding systems.