02323nam a2200241 a 4500 vtls000031341 KUKTEM 20251114204455.0 080902t2008 my a f m 000 0 eng|d THE0001919(Local) 201905131527 yusri 201107132242 VLOAD 200908141555 VLOAD 200908141527 VLOAD 200809020951 ida84 UMP QA76.87 .D56 2008 rs Thesis Dinie Muhammad Fault detection using neural network / Dinie Muhammad Fault detection using neural network [electronic resource] Kuantan, Pahang : UMP, 2008 92 p. : ill. ; 30 cm. + 1 computer disc Project paper (Bachelor of Chemical Engineering) --- Universiti Malaysia Pahang - 2008 This thesis is about the application of Artificial Neural Network (ANN) as fault detection in the chemical process plant. At the present time, the process and development in chemical plants are getting more complex and hard to control. Therefore, the needs for a system that can help to supervise and control the process in the plant have to be accomplished in order to achieve higher performance and profitability. As the emergence of Artificial Neural Network application nowadays had help to solve problems in various fields had given a great significant effect as the system are reliable to be adapted in the chemical plant. Furthermore, this thesis will be focusing more on the application of Artificial Neural Network as fault detection scheme in term of estimator and classifier in the chemical plant. Fault detection is popular in the present time as a mechanism to detect early malfunction and abnormal process or equipment in the plant. By implementing such system, we can boost up the production and the safety level of the plant. For this thesis, the Vinyl Acetate Plant had been chosen as the case study to provide the necessary data and information to run the research. Vinyl Acetate Plant process will provides a dependable source of data and an appropriate test for alternative control and optimization strategies for continuous chemical processes. -Author Neural networks (Computer science) 0 0 0 1 20000 20000 2019-09-04 0 QA76.87 .D56 2008 rs Thesis 0000031568 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 2847 | QA76.87 .D56 2008 rs Thesis 0000031569 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 2659 2665 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*9992