02927nam a2200265 a 4500 vtls000045088 KUKTEM 20251114204421.0 100205t2009 my a f m 000 0 eng‰d THE0003776(Local) 201905131520 shah 201107132306 VLOAD 201002091023 ida 201002051001 ida 201002050958 ida UMP TP155.75 .A45 2009 rs Bc. Mohamed Afizal Mohamed Amin Process monitoring on AFPT pilot plant by using statistical process control / Mohamed Afizal Mohamed Amin Process monitoring on AFPT pilot plant by using statistical process control [electronic resource] Kuantan, Pahang : UMP, 2009 51 p. : ill. (some col.) ; 30 cm. + 1 computer disc Project paper (Bachelor of of Chemical engineering) -- Universiti Malaysia Pahang - 2009 Bibliography : p. 38-39 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- Chemical proses control Statistical methods Operation research 0 0 0 1 10000 10000 2019-09-04 0 TP155.75 .A45 2009 rs Bc. 0000042923 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 3989 | TP155.75 .A45 2009 rs Bc. 0000042924 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 1691 1697 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*9992