Detection of multiple sensor faults in a palm oil fractionation plant using artificial neural network
Given the universal approximation properties, simplicity as well its intrinsic analogy to the non-linear state space form, a recurrent Elman network is derived and applied as process predictor for fault detection in process plants. In this paper, a two-stage scheme integrating a neural Elman network...
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| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯à®•ளà¯: | , |
|---|---|
| வடிவமà¯: | Conference or Workshop Item |
| மொழி: | English |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
2002
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| பகà¯à®¤à®¿à®•ளà¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•லà¯: | http://eprints.utm.my/987/ http://eprints.utm.my/987/1/RSCE_2002_MKAH.pdf |
| கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•ளà¯: |
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