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Articles by M.Z. Nuawi
Total Records ( 8 ) for M.Z. Nuawi
  S. Abdullah , S.N. Sahadan , M.Z. Nuawi and Z.M. Nopiah
  This study explores an application of the wavelet denoising technique in a fatigue road load variable amplitude data set. In this study, the wavelet denoising application has been implemented using the 4th order of Daubechies family, with the adaptation of fifteen levels decomposition process. From the view of current research trend, the wavelet-based denoising approach is widely used using vibration random signal, but it is rarely been used in the scope of fatigue road loadings, or also known as fatigue strain signals. The idea of this study came from the some previous vibration analysis research and it was found to be suited to the approach of fatigue signal denoising process. High amplitude events in a fatigue road signal are very important and they should be retained because of these features caused significant damage of the components, particularly in automotive applications. After the fatigue signal has been denoised, the global signal statistical calculation and fatigue damage/life analysis were performed in order to validate the applicability of this denoising technique. From the analysis, it was found that the wavelet denoising approach was not suitable to analyse fatigue data and the major concern is the omission of high amplitude events from the original road loading, hence to a significant fatigue damage difference when compared to the edited road loading.
  R. Zulkifli , M.J. Mohd Nor , M.F. Mat Tahir , A.R. Ismail and M.Z. Nuawi
  A comparison between acoustic sound absorption coefficient and transmission loss index of absorption panel using natural organic multi-layer coir fibre as the filler with and without perforated panels were studied this research. Experimental data obtained using reverberation room test method were compared with data from numerical simulation. The innovative sound absorption panel was developed and fabricated using treated coir fibre layers as sound absorption materials. The outer layer of the panel was fabricated from natural fibre/polyester composite panel. This innovative acoustic panel was tested at acoustic lab, faculty of engineering, Universiti Kebangsaan Malaysia using ISO 354 (1985) standard for noise absorption coefficient and ISO 717-1 standard for the transmission lost index. Simulation study was also conducted for the sound absorption panel using the Win FLAGTM software. For the sound absorption coefficient, the experiment gives the value between 0.70 and 0.80 for the frequency range of 1000 to 1800 Hz while the sound absorption coefficient obtained from simulation gives 0.7 to 0.85 for the frequency range of 500 to 2500 Hz. Transmission lost index gives an average of 20 dB for the panel. The results showed that the sound absorption coefficient obtained through both the experimental and simulation methods were comparable to those use commercially in the market such as rock wool and synthetic fibres.
  T.E. Putra , S. Abdullah , M.Z. Nuawi and Z.M. Nopiah
  An extraction computational algorithm for fatigue feature editing is presented in this study. The magnitude of the time domain Morlet wavelet coefficient level was used as the parameter to set gate value for the eliminating process of the 60 sec original signal. It was important to maintain the signal statistical parameters and the total fatigue damage of the mission signal as close as to the original signal, with the retention of the original load sequences. At the end of the process, by using this approach, segments containing the higher Morlet wavelet coefficients that contribute to the more fatigue damaging events were retained and were then joined so produce the optimum mission signal length of 13.8 sec. This short signal gave a 77% reduction in length with only 8.7% reduction in the fatigue damage. In conclusion, the extraction of the fatigue features using the Morlet wavelet successfully created a new mission signal which retains the majority of the higher fatigue damaging events in the time history.
  M.Z. Nuawi , M.J. M. Nor , N. Jamaludin , S. Abdullah , F. Lamin and C.K. E. Nizwan
  This study presents the development of an alternative statistical analysis method called Integrated Kurtosis-based Algorithm for Z-filter (I-kaz). The I-kaz analysis was developed in order to measure the degree of data scattering with respect to the data centroid for a dynamic signal analysis. The I-kaz parameter of a particular signal was determined by the value of I-kaz coefficient. The algorithm of I-kaz analysis provides a three dimensional graphic display of the magnitude distribution, which each axis represents the data distribution of the signal at three different frequency ranges. The I-kaz method which is a graphic-based technique is a proactive signal analysis tools because the relevant information can be extracted and the I-kaz space of scattering can be directly interpreted. The reliability of the I-kaz method has been evaluated by observing the I-kaz coefficient for a multivariate signal analysis and the trend of the coefficient values were compared to the existing statistical parameters, which are the standard deviation, variance, kurtosis and root mean square (rms). Finally, the applicability of the I-kaz method was accordingly verified.
  A.R. Ismail , M.Z. Nuawi , N.F. Kamaruddin and R.A. Bakar
  The purpose of this study was to evaluate and validate the Daily Exposure to Vibration A(8) and Vibration Dose Value (VDV) experienced by the car driver, with care taken to elucidate the effects of WBV on the human body and all at once to introduce a newly developed real-time WBV measurement instrumentation. Cars are one of the most important transportation worldwide. It plays a significant role for the human to travel from one place to the other places promptly. However, high magnitude Whole-Body Vibration (WBV) that can be associated with car may lead to various diseases and health problems, such as lower back pain, in humans. This study was conducted on a national car. The WBV exposure was measured for 10 min. Data was collected using an IEPE (ICPTM) accelerometer sensor connected to a DT9837 device, capable of effectively measuring and analyzing the vibrations. The vibration results were displayed on a personal computer using a custom Graphical User Interface (GUI). MATLAB software was used to interpret the results and determine the WBV exposure level. The values of Daily Exposure to Vibration A(8) and the Vibration Dose Value (VDV) during one stretch of car travel were measured as 0.8778 and 3.8862 m sec-1.75, respectively. The results here confirm that WBV absorbed by the human body increases with an increase in the duration and magnitude of vibration exposure by the driver, illustrated by the increase in the value of Daily Exposure to Vibration A(8) and the calculated Vibration Dose Value (VDV).
  Z. Karim , M.Z. Nuawi , A.Y. Md Said , J.A. Ghani and S. Abdullah
  The response of Integrated Kurtosis-Based Algorithm for Z-Notch Filter (I-kazTM) Multilevel coefficients toward the simultaneous changes in amplitude and frequency of signals was unknown. This study presents the coefficients responses toward the synthetic signals which vary in amplitude and frequency simultaneously. The I-kazTM Multilevel coefficients, 3rd order (3Z), 4th order (4Z), 5th order (5Z), 6th order (6Z), 7th order (7Z) and 8th order (8Z) were investigated by analyzing their response using three types of synthetic signals, FIAI, FIAD and FDAI. The responses of the I-kazTM Multilevel coefficients were analyzed by either increasing or decreasing the amplitude and frequency in the synthetic signals simultaneously. This study indicated that the response of all orders of I-kazTM Multilevel coefficients showed an increasing trend with respect to the increment in amplitude of FIAI and FDAI. All the coefficients however showed a decreasing trend in FIAD synthetic signal study regardless the increase in the frequency. The study also indicated that the change in amplitude has more influence than the change in frequency in the I-kazTM Multilevel coefficients responses. The influence ratio of the amplitude to frequency change was estimated to be 86.96-13.06%, respectively. Recognizing the behaviour of I-kazTM Multilevel coefficients toward the change in amplitude and frequency is important especially when analysing dynamic signals.
  Mohammed T. Jasim , M.Z. Nuawi , S.S. Ziyad , A.R. Bahari , F.M. Nadia and M.H. Mohammed
  The evaluation and design of more productive and cheaper materials and products can be improved by measuring their long lasting mechanical properties. In this study, vibration signals emitted from a steel ball were measured using a regular pulsing excitation method based on ASTM E1876 and at the same time, data was obtained from the configurations of an accelerometer and a piezofilm sensor. The polymeric materials selected for the proposed design were made up of rectangular bars consisting of cross-sections of polyvinyl chloride (PVC) and cast nylon (MC), acrylic (AC) and polyethylene (PE) with the same dimensions as the sample. The time domain and the frequencies of the vibration signals that were produced during the experiment were examined by means of an alternative statistical analysis method known as the Integrated Kurtosis-Based Algorithm for Z-Filter (I-KazTM) which was used to decipher the information that was gathered. Two correlation processes were obtained from the material properties (Compressive strength and Bulk modulus) and the I-KazTM, Z coefficients of the vibration signals picked up by an accelerometer and piezofilm sensor. The results prove that correlation processes can be used with the I-KazTM methods as standards for determining the properties of materials and that this technique is efficient, safe and cheap.
  S.S. Ziyad , M.Z. Nuawi , Mohammed T. Jasim , A.R. Bahari and F.M. Nadia
  During the design and engineering applications, the characteristics of the material are regarded as one of the most significant aspects of the process. This is to prevent any component or structure failure. This study employs the implementation of a newly devised method for characterising the property of a material based on the non-destructive testing concept which uses vibrational signals. Experimental procedure was carried out by elastically triggering a specimen using an impact hammer following ASTM C 1259-01 standard within the specific range of impact force. The polymer material specimen tested were of four types: Polycarbonate (PC), Polyoxymethylene (POM), Polyvinyl chloride (PVC) and Cast nylon (MC). Data obtained involved three forms of signals which are vibrational signals recorded by accelerometer sensor, the vibration signal recorded by piezofilm sensor and the impact force signal using the impact hammer. An alternative statistical analysis of Integrated Kurtosis-Based Algorithm for Z-Filter (I-kaz™) method was used to analyse and interpret the time domain of vibrational signal obtained from the experiment. The results are two correlation processes between the material properties (Bulk modulus and hardness-Vickers) and the I-kaz™, Z8 coefficients of vibration signal that are recorded by the piezofilm sensor and accelerometer sensor. The findings prove that there is a relationship between the I-kaz™coefficients of vibration signal and the properties of certain materials based on statistical analysis approach used in this study.
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