Modeling, Analysis, of Induction Motor's Stator Turns Fault Using Neuro-Fuzzy

This chapter discusses modeling and analysis methods for fault detection and diagnosis of stator inter-turn short circuit in three-phase induction machines. dq frame was used to model the induction motor for both health and fault cases to facilitate recognition of motor current and simulate motor environment. Fault diagnosis system was designed with adaptive neuro-fuzzy inference system (ANFIS) to provide an efficient online diagnostic tool. ANFIS diagnostic tool was trained with simulated data that generated by induction motor healthy and faulty models. Approached tool is verified online with a motor under different loading conditions. It determines the fault severity values using the motor current signature analysis (MCSA). Developed tool performance is investigated with a case study of two HP three-phase induction motor using Matlab/Simulink® software.

Hybrid Multi-Objective Grey Wolf Search Optimizer and Machine Learning Approach for Software Bug Prediction

Software bugs (or malfunctions) pose a serious threat to software developers with many known and unknown bugs that may be vulnerable to computer systems, demanding new methods, analysis, and techniques for efficient bug detection and repair of new unseen programs at a later stage. This chapter uses evolutionary grey wolf (GW) search optimization as a feature selection technique to improve classifier efficiency. It is also envisaged that software error detection would consider the nature of the error when repairing it for remedial action instead of simply finding it either faulty or non-defective. To address this problem, the authors use bug severity multi-class classification to build an efficient and robust prediction model using multilayer perceptron (MLP), logistic regression (LR), and random forest (RF) for bug severity classification. Both tests are performed on two software error datasets, namely Ant 1.7 and Tomcat.

A Triple Cornerstone Framework for Software Startups

Software startups are increasingly under high pressure to deliver successful products to survive and thrive in the modern highly competitive technology market. Larger organizations with deep pockets can replicate the same business ideas used by startups with relative ease. So how does the average startup stand a chance at succeeding at this seemingly David vs. Goliath contest? This chapter looks at the available literature and identifies factors that can affect the success of software development startups. Using causal loop constructs from the field of system dynamics, the interactions among the various identified factors are visualized to reveal the dynamics of the system. The result is as a three-dimensional view of success factors in form of time, capital, and (product) differentiation. The chapter also explores the cornerstones in the context of the product and business dimensions of software startups. This research acts as groundwork for analyzing the workings of software startups and sets the stage for a more holistic study upon which further research can be carried out.

Medical Pre-Screening of Common Diseases

In this chapter, relation between IFS and IVFS are studied and reviewed along with some existing distance measures on IFSs. Then, some distance measures for IVFSs are derived from IFSs and some properties on distance measures for IVFSs are ascertained. In the end, an attempt has been made to perform pre-screening test for common diseases of patients in two scenarios under this setting. In the first scenario, for medical prescreening IFSs data are taken and converted into IVFSs while IVFSs data are taken into consideration for the same in the second scenario.

A Framework for Using Dynamic Modeling to Support Lean Sustainment in a Complex Setting

This chapter proposes a framework for integrating lean and systems thinking tools to explore the dynamics of lean implementations in manufacturing. The value of this integrated approach is in supplementing the operational level principles of lean with the strategic outlook of systems thinking to mitigate adverse impacts of operational complexity on system performance. In particular, the focus of the framework is to enable the sustainment of lean gains in the long-term, a major challenge in manufacturing settings. The application of the framework is illustrated with a case study of a lean implementation for reducing work-in-process (WIP) at a clothing manufacturer dealing with a number of operational complexities such as demand uncertainty, a high product mix and inefficient processes. The case study highlights the usefulness of system dynamics modeling in revealing counterintuitive system behaviors that could compromise the success of the lean initiative. The simulation results demonstrate the application of the framework for sustaining lean implementations in practice.

Antimonotonicity, Crisis, and Route to Chaos in a Tumor Growth Model

In this chapter, a new model of a tumor growth is dynamically investigated. The model is presented in a form of a system of three ordinary differential equations, which describe the avascular, vascular, and metastasis tumor growth, respectively. For the investigation of system's dynamics and especially of the population of the immune cells in system's behavior, some of the most well-known tools from nonlinear theory, such as the phase portrait, the Poincaré map, the bifurcation diagram the Kaplan-Yorke dimension, and the Lyapunov exponents have been used. Interesting phenomena related with chaos theory, such as a period-doubling route to chaos, crisis phenomena, and antimonotonicity, have been revealed for the first time in this model.

Non-Linear Adaptive Control of Induction Motor Drive for Standalone Photovoltaic Water Pumping System

The integration in the isolated areas and rural sectors is a better solution for producing the electrical energy needed for applications such as pumping systems. The rural water demand for crop irrigation and domestic water supplies is increasing. For this, one of the most conceived solutions is the photovoltaic water pumping technology which has the advantage of being sustainable and respectful of the environment to supply water to rural areas. This chapter describes a robust control of a standalone photovoltaic water pumping system using induction motor drive coupled with a centrifugal hydraulic pump. The induction motor is controlled by algorithm called an adaptive nonlinear control uses a combination of the adaptive observer for rotor flux and nonlinear control technique. The variables to be controlled are the rotor speed and the rotor flux norm required to implement the nonlinear control algorithm is estimated by adaptive flux observer. Simulations are carried out in order to show the effectiveness of the drive and the robustness to parameters variations.

Policy Analysis in Technical Education

Higher technical education is one of the indicators of national growth. Higher technical education of the country is responsible for its global progress in technology and standard of living as technical advancement helps to make the country economically progressive as the availability of quality technical staff attracts global entrepreneurs who, in turn, increase the revenue of the nation and therefore the higher technical education system is the backbone of the country's economic progress. In the present research paper, India's higher technical education system is being studied, which is currently undergoing uneven expansion due to the implementation of the various policies responsible for this plethora of expansion. The main objectives of this study are to improve the quality of higher technical education by developing a dynamic system model by incorporating some of the important parameters of higher technical education system stakeholders to test various long-term policies that can improve the quality of higher technical education.

Production Complexity of the Iranian Performing Arts

Theater is referred to as a cultural product which plays a major part in the cultural paradigm of civilized societies. Public theater is a type of performing arts in which the production receives financial support from the government. Therefore, the public theater production follows a complex trend controlled by a particular socio-economic system. The aims of this study are to identify interactions among financial and economic factors in the Iranian public theater and to find the possible threats and suggest effective policies in order to improve the position of the Iranian theater. For this purpose, the authors use system dynamics methodology to build a model that can explain or mimic the system. They present their analysis in accordance with principles of microeconomics. The analysis is conducted in three acts, namely production, distribution, and consumption. Findings reveal that the position of the Iranian public theater is undesired due to accumulated workforce, lack of distribution networks, and underconsumption. Finally, policies are suggested to overcome the shortcomings.

Brushless Motor and Wireless Recharge System for Electric Vehicle Design Modeling and Control

This chapter deals with the problem of energy storage inside an electric vehicle. The main source of energy is based on a wireless system. This recharge tool regroups inside several components as the storage system, which consists of an ensemble of batteries and serving as the main power source, a special electronic converter that is based on the buck-boost principle and a coil receiver placed undo the vehicle. From the other side, one or more than coil transmitters are placed on the road, where the vehicle is. Modeling all of these components and expressing their mathematical models seems interesting for defining the possible control method that can guarantee a high autonomy when the vehicle is moving. So, taking into account if the care is driving or stopped, this recharge system is studied for verifying the effectiveness of this recharge system and showing the relationship between the vehicle situation and the quantity of received power. Using the platform Matlab/Simulink the results were shown and discussed.