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Research paper thumbnail of Fault detection and monitoring using Multiscale PCA

Research paper thumbnail of Jurnal Teknologi Fault Detection and Monitoring Using Multiscale Principal Component Analysis at a Sewage Treatment Plant

Faults are one of the main causes of disturbance in the processes of wastewater treatment systems... more Faults are one of the main causes of disturbance in the processes of wastewater treatment systems. Due to this, faults should be detected and monitored. Process monitoring in a wastewater treatment system is important to ensure that the process operates according to the Malaysian Government’s requirements to prevent the spread of failure through the plant. There are three types of fault in the system: sensor fault, actuator fault and process fault. If the fault cannot be traced, the effectiveness of the processes in the system cannot be sustained. To avoid this problem, faults must be detected and monitored. This paper describes the implementation and assessment of fault detection and monitoring in a sewage treatment plant run by the Indah Water Konsortium (IWK) Sg. Bunus Kuala Lumpur. One of the methods of detecting faults is the data and signal model approach. Under this approach in multivariate statistical analysis is the principal component analysis (PCA) with Hotelling’s T stat...

Research paper thumbnail of Fault detection and monitoring system using enhanced principal component analysis for the application in wastewater treatment plant

Fault detection and monitoring is essentially important in wastewater treatment to ensure that sa... more Fault detection and monitoring is essentially important in wastewater treatment to ensure that safety, environmental regulations compliance, maintenance and operation of the Wastewater Treatment Plant (WWTP) are under control. Many researchers have developed methods in fault detection and monitoring such as fuzzy logic, parameter estimation, neural network and Principal Component Analysis (PCA). In studies involving data and signal model approach, PCA is the most appropriate method used in this work. Besides when using PCA, the dimensionality of the data, noise and redundancy can be reduce. However, PCA is only suitable for data with mean constant or steady state data. The use of PCA can also increase false alarm and produce false fault in a plant such as WWTP. Modifications of PCA need to be done to overcome the problems and hence, enhanced methods of PCA are proposed in this work. The enhanced methods are Multiscale PCA (MSPCA) and Recursive PCA (RPCA), which are appropriate for o...

Research paper thumbnail of Flexible Parallel Bar for Physiotherapy Purposes

The utilization of parallel bars in rehabilitative and active recuperations is crucially critical... more The utilization of parallel bars in rehabilitative and active recuperations is crucially critical in the medicinal services calling. Parallel bars are utilized to enable individuals to recover their quality, adjust, scope of movement, and freedom. For individuals recouping from wounds, ailments, and other crippling conditions, parallel bars are importance things of active recuperation, recovery, and exercise hardware. However, there are some obstacles while adjusting the bar height according to patient’s height. This is because the height of bar is adjusted manually by a physiotherapist. It will take time before the patient’s allowed to use it. Therefore, Flexible Parallel Bar is designed to address this problem. This design consists of a control unit that will control bar on the left and right. Control panel comprises a selection switch (left and right) and up/down button. Forward reverse motor is used to downward and upward the shaft according to the desired height. In addition, t...

Research paper thumbnail of Webbing Design Analysis for Rice Cake Casing

International Journal of Engineering Trends and Technology

Research paper thumbnail of Smart wheelchair using android smartphone for physically disabled people

International Journal of Engineering & Technology

This paper describes the development of a smart wheelchair system with voice recognition and touc... more This paper describes the development of a smart wheelchair system with voice recognition and touch controlled using an embedded system. An android application is developed and installed on the android smartphone. The system is divided into two main modes: voice recognition mode and touch mode. For the voice recognition mode, elderlies or physically disabled people (users) can provide the voice input, for example, “go”, “reverse”, “turn to the left”, “turn to the right” and “stop”. The wheelchair will move according to the command given. For the touch mode, the user can select the specified direction displayed within the four quadrants on the screen of the android smartphone to control the wheelchair. An Arduino Uno is used to execute all commands. The MD30C motor driver and HC05 Bluetooth module are used in this system. This system is designed to save time and energy of the user.

Research paper thumbnail of Dynamic modelling and analysis of 3D overhead gantry crane system

International Journal of Engineering & Technology

The overhead gantry crane systems are extensively used in harbours and factories for transportati... more The overhead gantry crane systems are extensively used in harbours and factories for transportation of heavy loads. The crane speeding up, required for motion, always induces undesirable load swing. This writings present dynamic modelling of a 3D overhead gantry crane sys-tem based on closed-form equations of motion. By using the Lagrange technique, a 3D overhead gantry crane system nonlinear dynamic model is deriving. Then perform a linearization process to obtain a linear model dynamic system. Finally, simulation results systems re-sponses of the derived nonlinear and linear model are presented showing the accuracy and performance of both model.

Research paper thumbnail of Fault Detection and Monitoring Using Multiscale Principal Component Analysis at a Sewage Treatment Plant

Jurnal Teknologi, 2014

Safety, environmental regulations, the cost of maintenance and the operation of sewage treatment ... more Safety, environmental regulations, the cost of maintenance and the operation of sewage treatment plants are some of the many reasons researchers have carried out countless research studies into fault detection and monitoring over the years. Conventional principal component analysis (PCA) in particular has been used in the field of fault detection, where the technique is able to separate useful information from multivariate data. However, conventional PCA can only be used on data that has a constant mean, which is rare in sewage treatment plants. Consequently, the success of combining wavelet and conventional PCA has attracted many researchers to apply it to fault detection where the wavelet is capable of separating data into several time scales. The separated data will be approximated to a constant mean. In addition, the conventional PCA only captures the correlation across the data, unlike multiscale PCA (MSPCA) which captures the correlation within the data and across the data. Th...

Research paper thumbnail of Fault detection and monitoring using Multiscale PCA

Research paper thumbnail of Jurnal Teknologi Fault Detection and Monitoring Using Multiscale Principal Component Analysis at a Sewage Treatment Plant

Faults are one of the main causes of disturbance in the processes of wastewater treatment systems... more Faults are one of the main causes of disturbance in the processes of wastewater treatment systems. Due to this, faults should be detected and monitored. Process monitoring in a wastewater treatment system is important to ensure that the process operates according to the Malaysian Government’s requirements to prevent the spread of failure through the plant. There are three types of fault in the system: sensor fault, actuator fault and process fault. If the fault cannot be traced, the effectiveness of the processes in the system cannot be sustained. To avoid this problem, faults must be detected and monitored. This paper describes the implementation and assessment of fault detection and monitoring in a sewage treatment plant run by the Indah Water Konsortium (IWK) Sg. Bunus Kuala Lumpur. One of the methods of detecting faults is the data and signal model approach. Under this approach in multivariate statistical analysis is the principal component analysis (PCA) with Hotelling’s T stat...

Research paper thumbnail of Fault detection and monitoring system using enhanced principal component analysis for the application in wastewater treatment plant

Fault detection and monitoring is essentially important in wastewater treatment to ensure that sa... more Fault detection and monitoring is essentially important in wastewater treatment to ensure that safety, environmental regulations compliance, maintenance and operation of the Wastewater Treatment Plant (WWTP) are under control. Many researchers have developed methods in fault detection and monitoring such as fuzzy logic, parameter estimation, neural network and Principal Component Analysis (PCA). In studies involving data and signal model approach, PCA is the most appropriate method used in this work. Besides when using PCA, the dimensionality of the data, noise and redundancy can be reduce. However, PCA is only suitable for data with mean constant or steady state data. The use of PCA can also increase false alarm and produce false fault in a plant such as WWTP. Modifications of PCA need to be done to overcome the problems and hence, enhanced methods of PCA are proposed in this work. The enhanced methods are Multiscale PCA (MSPCA) and Recursive PCA (RPCA), which are appropriate for o...

Research paper thumbnail of Flexible Parallel Bar for Physiotherapy Purposes

The utilization of parallel bars in rehabilitative and active recuperations is crucially critical... more The utilization of parallel bars in rehabilitative and active recuperations is crucially critical in the medicinal services calling. Parallel bars are utilized to enable individuals to recover their quality, adjust, scope of movement, and freedom. For individuals recouping from wounds, ailments, and other crippling conditions, parallel bars are importance things of active recuperation, recovery, and exercise hardware. However, there are some obstacles while adjusting the bar height according to patient’s height. This is because the height of bar is adjusted manually by a physiotherapist. It will take time before the patient’s allowed to use it. Therefore, Flexible Parallel Bar is designed to address this problem. This design consists of a control unit that will control bar on the left and right. Control panel comprises a selection switch (left and right) and up/down button. Forward reverse motor is used to downward and upward the shaft according to the desired height. In addition, t...

Research paper thumbnail of Webbing Design Analysis for Rice Cake Casing

International Journal of Engineering Trends and Technology

Research paper thumbnail of Smart wheelchair using android smartphone for physically disabled people

International Journal of Engineering & Technology

This paper describes the development of a smart wheelchair system with voice recognition and touc... more This paper describes the development of a smart wheelchair system with voice recognition and touch controlled using an embedded system. An android application is developed and installed on the android smartphone. The system is divided into two main modes: voice recognition mode and touch mode. For the voice recognition mode, elderlies or physically disabled people (users) can provide the voice input, for example, “go”, “reverse”, “turn to the left”, “turn to the right” and “stop”. The wheelchair will move according to the command given. For the touch mode, the user can select the specified direction displayed within the four quadrants on the screen of the android smartphone to control the wheelchair. An Arduino Uno is used to execute all commands. The MD30C motor driver and HC05 Bluetooth module are used in this system. This system is designed to save time and energy of the user.

Research paper thumbnail of Dynamic modelling and analysis of 3D overhead gantry crane system

International Journal of Engineering & Technology

The overhead gantry crane systems are extensively used in harbours and factories for transportati... more The overhead gantry crane systems are extensively used in harbours and factories for transportation of heavy loads. The crane speeding up, required for motion, always induces undesirable load swing. This writings present dynamic modelling of a 3D overhead gantry crane sys-tem based on closed-form equations of motion. By using the Lagrange technique, a 3D overhead gantry crane system nonlinear dynamic model is deriving. Then perform a linearization process to obtain a linear model dynamic system. Finally, simulation results systems re-sponses of the derived nonlinear and linear model are presented showing the accuracy and performance of both model.

Research paper thumbnail of Fault Detection and Monitoring Using Multiscale Principal Component Analysis at a Sewage Treatment Plant

Jurnal Teknologi, 2014

Safety, environmental regulations, the cost of maintenance and the operation of sewage treatment ... more Safety, environmental regulations, the cost of maintenance and the operation of sewage treatment plants are some of the many reasons researchers have carried out countless research studies into fault detection and monitoring over the years. Conventional principal component analysis (PCA) in particular has been used in the field of fault detection, where the technique is able to separate useful information from multivariate data. However, conventional PCA can only be used on data that has a constant mean, which is rare in sewage treatment plants. Consequently, the success of combining wavelet and conventional PCA has attracted many researchers to apply it to fault detection where the wavelet is capable of separating data into several time scales. The separated data will be approximated to a constant mean. In addition, the conventional PCA only captures the correlation across the data, unlike multiscale PCA (MSPCA) which captures the correlation within the data and across the data. Th...