KUKU RAFIU OLALEKAN

Mechanical Engineering

At the Mechanical Engineering department office

Appointment on Visitation important

Topic: INVESTIGATION OF COCONUT FIBRE BENEFICIATION FOR BIFURCATION AND CHAOS CONTROL IN DYNAMICAL SYSTEMS.

Description: Bifurcation is the study of changes in the topological structure of a system. A bifurcation occurs when a small smooth change made to the parameter values of a system causes a sudden qualitative or topological change in its behavior. Bifurcation occurs in both continues and discrete systems such as structures and vibrating machinery. The level of vibration in a structure can be attenuated by reducing either the excitation, or the response of the structure to that excitation or both. It is sometimes possible, at the design stage, to reduce the exciting force or motion by changing the equipment responsible, by relocating it within the structure or by isolating it from the structure so that the generated vibration is not transmitted to the supports. The structural response can be altered by changing the mass or stiffness of the structure, by moving the source of excitation to another location, or by increasing the damping in the structure. Naturally, careful analysis is necessary to predict all the effects of any such changes, whether at the design stage or as a modification to an existing structure. It is necessary to analyse the vibration of structures in order to predict the natural frequencies and the response to the expected excitation. The natural frequencies of the structure must be found because if the structure is excited at one of these frequencies resonance occurs, with resulting high vibration amplitudes, dynamic stresses and noise levels. Accordingly resonance should be avoided and the structure designed so that it is not encountered during normal conditions; this often means that the structure need only be analysed over the expected frequency range of excitation.The problems associated with structure and machinery vibration cannot be over emphasized. The catastrophic behaviors of machinery in manufacturing industry has led to the destruction of lives and properties over the years. The research tends to evaluate the characteristics of machine and structure behavior to vibrational sources and develop a new vibration damping attenuating material using the coconut fiber for purpose of building an effective damping device for dynamical systems.

#	Certificate	School	Year
1.	Ph.D (Mechanical Engineering)	Mechanical Engineering Department, Lagos State University Ojo, Nigeria.	2020

COMPARATIVE ANALYSIS OF GEARBOX FAULT DETECTION USING ENSEMBLE LEARNING TECHNIQUES WITH VIBRATION SENSOR DATA

Gearbox fault detection plays a crucial role in ensuring the reliable operation of machinery and preventing costly downtime. This research thesis aims to develop and evaluate ensemble learning techniques for accurate detection of gearbox broken tooth condition using vibration data from SpectraQuest's Gearbox Fault Diagnostics Simulator. The dataset comprises vibration readings from sensors under healthy and broken tooth conditions. A thorough analysis of the Gearbox Fault Diagnosis Dataset was conducted, integrating time and frequency domain analyses to inform feature engineering. A comprehensive comparative analysis of bagging, boosting, stacking, and voting approaches is conducted. The standout performer is the AdaBoostClassifierET, achieving 87.56% accuracy, 88.36% precision, 86.38% recall, and an F1 score of 87.36%. Bagging methods also exhibit commendable performance, with BaggingClassifierET achieving 87.38% accuracy, 87.17% precision, 87.50% recall, and an F1 score of 87.34%. The research also highlights the significance of base model choices in ensemble techniques, as different base model choices yielded different results in all four techniques. The study surpasses previous work by incorporating a comprehensive set of ensemble techniques, advanced feature engineering informed by time and frequency domain analyses, and a nuanced evaluation of overfitting concerns. 

KUKU RAFIU is a Lecturer I at the Department of Mechanical Engineering

KUKU has a Ph.D in Mechanical Engineering from Mechanical Engineering Department, Lagos State University Ojo, Nigeria.