Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Principal component analysis (PCA) finds wide applications in process monitoring and product quality control. The objectives of this part of the two-part paper are (i) development of fault identification method based on the fault reconstruction results obtained in part 1 paper and (ii) analyses the fault isolatability issue to ascertain if a fault could be uniquely identified. Both the aims are restricted in the principal component subspace (PCS) as in part 1. It is shown the isolatability of the candidate fault set can be explored in prior using only normal process data. Then a reconstruction based faults identification index is proposed. Again the obtained results are illustrated and verified by simulation studies on a double-effective evaporator.
['Ning Jiang', 'Haiqing Wang', 'Diancai Yang']
I am writing a research paper on a idea Process monitoring in principal component subspace: part 2. I am writing a research paper on a idea Fault identification and isolation study
[{"from": "human", "value": "I am writing a research paper on a idea Process monitoring in principal component subspace: part 2. I am writing a research paper on a idea Fault identification and isolation study"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Principal component analysis (PCA) finds wide applications in process monitoring and product quality control. The objectives of this part of the two-part paper are (i) development of fault identification method based on the fault reconstruction results obtained in part 1 paper and (ii) analyses the fault isolatability issue to ascertain if a fault could be uniquely identified. Both the aims are restricted in the principal component subspace (PCS) as in part 1. It is shown the isolatability of the candidate fault set can be explored in prior using only normal process data. Then a reconstruction based faults identification index is proposed. Again the obtained results are illustrated and verified by simulation studies on a double-effective evaporator."}]