In this paper, we outline two strategies for the maintainence and optimization of the printing quality of xerographic systems. The first strategy is concerned with the management of the effect of disturbances and system variations in the context of control of the tone reproduction curve via a robust control methodology. The second strategy deals with larger scale faults and capability degradation in the xero-graphic process. In this case, a Bayesian Network based diagnostics strategy is proposed to detect the fault state and the state of the capability of the printer. Based on these, the controller be can reconfigured so as to optimize the printer's performance under degraded mode.
|Original language||English (US)|
|Number of pages||6|
|State||Published - Dec 1 2000|
|Event||IS and T's NIP16: International Conference on Digital Printing Technologies - Vancouver, BC, Canada|
Duration: Oct 15 2000 → Oct 20 2000
|Other||IS and T's NIP16: International Conference on Digital Printing Technologies|
|Period||10/15/00 → 10/20/00|