Fault detection and diagnosis using Multivariate Statistical Process Control (MSPC)

Currently, chemical plants face numerous challenges like stringent requirements are needed on the desired final product quality, utilization of a lot of energy, must be environmentally friendly and fulfill safety requirements. High operation cost is needed in order for chemical plants to overcome t...

সম্পূর্ণ বিবরণ

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Mak, Weng Yee, Kamarul, Asri Ibrahim
অন্যান্য লেখক: Ahmad, Abdul Latif
বিন্যাস: Book Section
ভাষা:English
প্রকাশিত: Penerbit Universiti Sains Malaysia 2004
বিষয়গুলি:
অনলাইন ব্যবহার করুন:http://eprints.usm.my/43031/1/pED02.pdf
বিবরন
সংক্ষিপ্ত:Currently, chemical plants face numerous challenges like stringent requirements are needed on the desired final product quality, utilization of a lot of energy, must be environmentally friendly and fulfill safety requirements. High operation cost is needed in order for chemical plants to overcome the stated challenges. Any faults that are present in a chemical process will yield higher operation cost on the plant due to increase in production of waste, re-work, re-processing and consumption of utilities. Therefore, accurate process fault detection and diagnosis (FDD) on a chemical process at an early stage is important to reduce the cost of operation due to present of faults.