Curriculum Vitae for Academic Staff

Transcription

1 Full Name Current Position Khalid Fatihi Abdulraheem Assistant Professor Faculty Faculty of Engineering Academic Qualifications PhD Mechanical Engineering Main specialization Machine condition monitoring and vibration analysis Working Experience 20 years Courses Taught Control Systems (with MATLAB). Electro-Mechanical Condition Monitoring. Advanced Dynamics and Vibrations. Finite Element and Advanced Machine Design (Solidworks). Engineering Materials and Manufacturing. Production Engineering. Process Instrumentation and Control. Mechanical Vibration. Applied Mechanics (Statics and Dynamics) CAD/CAM. Numerical Methods and Optimization Research Methodology. Non-Destructive Testing (MSc course). Academic, Research, and Professional activities. POST GRADUATE SUPERVISION 1- Determine the remaining life on edged aircraft wires, MSc, CCE/GCU 2- Modeling, simulation and empirical investigation of worker assignment for virtual

2 cellular manufacturing, PhD, CCE/NIT, Durgapur. 3- Gear Fault Detection Using Wavelet Analysis and a Neural Network. CCE/NIT, Durgapur. PhD supervision. 4- Automatic cutting tool fault detection using wavelet analysis and an artificial neural network (ANN), MSc at CCE/GCU. 5- Rotor Misalignment and Unbalance Detection Using Wavelet and Neural Network Techniques, MSc at CCE/GCU 6- External Examiner of the following PhD thesis: a- Study of Vibration Signatures of Bearing for Fault Diagnosis and Condition Monitoring, V. Hariharan, Anna University Chennai, India b- Design, Analysis And Characterization of Piezo-Driven Flat Walled Diffuser/Nozzle Micropump, Chandika S., Automation and robotics, Anna University of Technology, Coimbatore, India PUBLISHED PAPERS Grainger,S. (2006): Performance Evaluation of Adaptive Noise Canceller (ANC) and Adaptive Line Enhancer (ALE) for the Application of Rolling Bearing Fault Detection, 19 th International Congress, COMADEM 2006, June, Lulea, Sweden, pp ISBN Grainger,S. (2006): Detection of the Rolling Element Bearing Faults Using Optimized-Wavelet De-noising Technique, ICSP 06, Gillin, China, pp IEEE catalog no. 06 TH8894C, ISBN Khalid Fathi Al-Raheem and K.P. Ramachandran (2006): "Rolling element bearing fault diagnosis using Morlet Wavelet enveloped power spectrum", Caledonian Journal of Engineering, Vol.2 (1), pp

3 Grainger,S. (2007): Detection of Rolling Element Bearing Defects Using Genetic Optimized Impulse-Wavelet Power Spectrum, Proceeding of COMADEM2007, Faro, Portugal, June 13-15, 2007, pp , ISBN Grainger,S. (2007): Rolling Element Bearing Fault Diagnosis Using Laplace-Wavelet Envelope Power Spectrum, EURASIP Journal of Advances in Signal Processing, vol.2007 (1), pp 70-83, ISSN: Grainger,S. (2007): The Exploitation of Wavelet De-Noising to Detect Bearing Faults, Int. Journal of KONBIN, vol. 1 (3), pp. 7-16, ISSN Grainger,S. (2008): Rolling Element Bearing Fault Diagnosis Based on Autocorrelation of Optimized Wavelet De-noising Technique, International. of Advanced Manufacturing Technology,vol.40 (3-4), pp Grainger,S. (2008): Application of Laplace Wavelet Combined with Artificial Neural Networks for Rolling Element Bearing Fault Diagnosis, ASME J. of vibration and Acoustics, Vol.130 (5), pp (1) (9). Ali Mohammed Al-Khanbashi, Khalid F. Al-Raheem (2008): Bearing Faults Detection Using Vibration Analysis and Infrared Thermography Techniques, Caledonian Journal of Engineering, Vol.4 (1), pp Grainger, S. (2008): Laplace wavelet combined with ANN for rolling bearing fault Diagnosis", Int. J. of COMADEM, Vol. 11 (4), pp Moammer Ali Saud Al- Tubi and Khalid F. Al-Raheem (2010): Rolling

4 Element Bearing Faults Detection, A Time-Domain Analysis, Caledonian Journal of Engineering, Vol.6 (1), pp R.V.Murali, A B Puri, Prabhakaran, G, and Khalid F. Al-Raheem (2010), Comparison of Feed Forward and Radial Basis Function Neural Networks for Worker Assignment into Virtual Cells, International Conference on Computer Aided Production Engineering (CAPE-2010) April, 2010, University of Edinburgh, Scotland, UK. R.V. Murali, A.B. Puri, Khalid F. Al-Raheem& G. Prabhakaran (2010):" ANN Worker Assignment Model With Real Time Industrial Data", International Journal of Industrial Engineering Practice (IJIEP), Vol.2 No.2, pp R.V.Murali, A B Puri, and K. F. Al-Raheem (2010), "Development and Application of ANN Model For Worker Assignment into Virtual Cells of Large Sized Configurations", International Conference On Modelling, Optimization, And Computing (ICMOS 20110),Volume 1298, pp K.P.Ramachandran, Khalid F. Al-Raheem and B.K.N. Rao (2010) : Recent Trends in Systems Performance Monitoring & Failure Diagnosis, the IEEE international conference on Industrial and Engineering Management engineering, IEEM 2010, pp Khalid F. Al-Raheem, Dr. Waleed Abdul-Karem(2010): Rolling Bearing Fault Diagnostics Using Artificial Neural Networks Based On Laplace Wavelet Analysis, International Journal of Engineering, Science and Technology, Vol. 2(6), pp Waleed Abdul-Karem and Khalid F. Al-Raheem (2011): Vibration improved the fluidity of aluminum alloys in thin wall investment casting, International Journal of Engineering, Science and Technology, Vol. 3(1), pp Waleed Abdul-Karem, N. Green and Khalid F. Al-Raheem (2011): Vibration-assisted filling capability in thin wall investment casting,

5 International J. of Advanced Manufacturing Technology, DOI /s Khalid F. Al-Raheem and Waleed Abdul-Kareem (2011): Rolling Element Bearing Fault Diagnostics Using Laplace Wavelet Kurtosis, International Journal of Mechanic Systems Engineering (IJMSE), Vol.1 (1), pp Moammer A. S. Al- Tubi and Khalid F. Al-Raheem (2012): Rolling Element Bearing Faults Detection, Power Spectrum and Envelope Analysis, ICADME 2012, p. A29. Abbas H. A. M. Hasan, Waleed Abdul-Karem and Khalid F. Al-Raheem, (2012): Theoretical and experimental study of bubbly gas-water two phase flows through a Universal Venturi Tube (UVT), Journal of IET Science, Measurement & Technology. (Accepted). Waleed Abdul-Karem, N.Green, Khalid F. Al-Raheem and Abbas H. A. Hasan (2012): Effect Of Vibration After Filling On Mechanical Reliability In Thin Wall Investment Casting With Fillability Filling Regime- Part 1, International J. of Advanced Manufacturing Technology, UK (under Publishing). Khalid F. Al-Raheem (2012): Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology. Chapter 14: Wavelet Analysis and Neural Networks for Bearing Fault Diagnosis, book editor: Dr.. ISBN , InTech. Open access publisher. M. Lokesha, M. C.Majumder, K. P. Ramachandran, Khalid F. Abdul Raheem (2011): Fault diagnosis in gear using wavelet envelope power spectrum, International Journal of Engineering, Science and Technology, Vol. 3(8), pp P. Chandra, N. Ahmed, M. Lokesha, Khalid F. Abdul Raheem (2012): Application of Wavelet Analysis and ANN For Fault Diagnosis Of Gears, 3 rd International Conference on Production, Energy and Reliability,12-14

6 June 2012, Kuala Lumpur, IBSN M. Lokesha, M. C.Majumder, K. P. Ramachandran and Khalid F. Abdulraheem (2013): Fault Detection And Diagnosis In gears Using Wavelet Enveloped Power Spectrum And Ann, International Journal of Research in Engineering and Technology (IJRET), Vol. 2(9), pp eissn: pissn: M. Lokesha, M. C. Majumder, K. P. Ramachandran and Khalid F. Abdulraheem (2013): Wavelet Enveloped Power Spectrum and Optimal Filtering For Fault Diagnosis in Gear, International Journal of Scientific Engineering and Technology, Vol.2 (7), pp (ISSN: ). Waleed Abdul-Karem, N.Green, Khalid F. Al-Raheem and Abbas H. A. Hasan (2013): Effect Of Vibration After Filling On Mechanical Reliability In Thin Wall Investment Casting With Fillability Filling Regime- Part 1, International J. of Advanced Manufacturing Technology, Volume 67, Issue 9-12, pp Projects: Automatic Condition Monitoring and Predictive Diagnostics As Applied to Wind Turbines. TRC funded-2014