UMP Institutional Repository

Process monitoring on AFPT pilot plant by using statistical process control

Mohamed Afizal, Mohamed Amin (2009) Process monitoring on AFPT pilot plant by using statistical process control. Faculty of Chemical & Natural Resources Engineering, Universiti Malaysia Pahang.


Download (8MB)


Statistical Process Control (SPC) technique has been widely develops for fault detection, diagnosis and control tool. Today, the industries have to keep sustainable production and operate as fault free as possible because faults that present in a process operation increase the operating cost due to products with undesired specifications, malfunction of plant equipment and instrumentation. Therefore, this study is conducted to introduce Statistical Process Control method for detecting fault early enough, so that the corrective action can be taken before the process is upset or out of control. For this research, the historical data at normal operating condition is collected by using Air Flow Pressure Temperature (AFPT) Pilot Plant. The generate data then will be ensure distribute normally before further analysis is carried out. Shewhart individual chart and Shewhart range chart are use to facilitate the fault detected. Based on the result, the Shewhart individual capabilities is more precise estimate of the process standard deviation compare to Shewhart range because it has a smaller uncertainty. Besides that, the computation of Shewhart individual involves all the measurements in each sample, while the computation of Shewhart range involves only two measurements (the largest and the smallest). Based on the result obtained, it shows that both Shewhart range and Shewhart individual chart, can detect fault for both process variables (Temperature and Pressure) and quality variables (Density). After the correlation coefficient is determined it show that the gap between UCL and LCL with CL become wider and make the usage of this technique in Shewhart chart for fault detection gives the best for it has the highest fault detection efficiency.-Author-

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of of Chemical engineering) -- Universiti Malaysia Pahang - 2009
Uncontrolled Keywords: Chemical proses control -- Statistical methods Operation research
Subjects: T Technology > TP Chemical technology
Faculty/Division: Faculty of Chemical & Natural Resources Engineering
Depositing User: Rosfadilla Mohamad Zainun
Date Deposited: 16 Aug 2010 03:27
Last Modified: 03 Mar 2015 07:47
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item