	US 7,489,881 B2
	Failure prevention diagnosis support system, failure prevention diagnosis support method, and program product of failure prevention diagnosis support
Kaoru Yasukawa, Kanagawa (Japan); Koji Adachi, Kanagawa (Japan); Koki Uwatoko, Kanagawa (Japan); Tetsuichi Satonaga, Kanagawa (Japan); Norikazu Yamada, Kanagawa (Japan); and Eigo Nakagawa, Kanagawa (Japan)
Assigned to Fuji Xerox Co., Ltd., Tokyo (Japan)
Filed on Dec. 28, 2006, as Appl. No. 11/646,254.
Claims priority of application No. 2006-154132 (JP), filed on Jun. 02, 2006.
Prior Publication US 2007/0280706 A1, Dec. 06, 2007
Int. Cl. G03G 15/00 (2006.01)

U.S. Cl. 399—8 [399/9]

19 Claims

18. A failure prevention diagnosis support method comprising:

acquiring internal information about an internal state of an image forming apparatus;

storing one or a plurality of logistic regression models that define an estimate value of a regression coefficient through a logistic regression analysis using the internal information obtained when the image forming apparatus is in a failed state and in a normal state, the one or the plurality of logistic regression models having an objective variable that is a binary variable representing one of a failed state and a normal state of the image forming apparatus, the one or the plurality of logistic regression models having an explanatory variable that is the internal information about the image forming apparatus or a value obtained from the internal information; and

performing a control operation so as to select a logistic regression model from the one or the plurality of the logistic regression models stored in a storage portion in accordance with the image forming apparatus, and to calculate risk degrees as objective variables that are indicators of failure degrees in the image forming apparatus by assigning the internal information acquired in the acquiring step or the value obtained from the internal information to the selected logistic regression model.