Fuji Xerox Co., Ltd.

Koki Uwatoko

Koji Adachi

Kaoru Yasukawa

Tetsuichi Satonaga

Norikazu Yamada

Eigo Nakagawa

Shigehiro Furukawa

Hiroyuki Miyake

Masahiko Koyanagi

Hiroshi Ishikawa

Takashi Nagao

Satoshi Kubota

Noriaki Seki

Yoshinori Wada

Tetsuro Kawata

Kazutaka Hirata

Yuji Onozawa

Tetuichi Satonaga

Provided is a failure predictive system, including a storage unit that stores a first model, a second model, and a third model, which are models prepared in advance based on data acquired with respect to one or more monitored apparatuses, an acquiring unit that acquires data of the control parameters and the data of the usages with respect to the monitored apparatus which is a failure predictive object, and a calculation unit that calculates a failure occurrence probability of the monitored apparatus which is the failure predictive object based on the data of the control parameters and the data of the usages acquired by the acquiring unit, and the first to the third models stored in the storage unit.

Failure predictive system, and failure predictive apparatus

A malfunction inferring apparatus includes an obtaining unit and an inferring unit. The obtaining unit obtains, from a first image forming apparatus and a second image forming apparatus which are used alternatively with each other by plural users, a first usage status of the first image forming apparatus and a second usage status of the second image forming apparatus. If a first change occurs in the first usage status and if a second change corresponding to the first change occurs in the second usage status, the inferring unit infers that a malfunction has occurred in any one of the first image forming apparatus and the second image forming apparatus, in accordance with the first usage status and the second usage status obtained by the obtaining unit.

Malfunction inferring apparatus, malfunction inferring method, and non-transitory computer readable medium

An image forming system includes first and second generation units, a setting unit, and a prognosis unit. For a monitoring item whose detection values, being detected during an image forming operation in an image forming apparatus in which a trouble occurred within a predetermined time period after an operating condition was changed, were changed to an abnormal state, the first generation unit generates characteristic information indicating a variation state of the detection values. The setting unit sets criterion information to predict occurrence of a trouble, based on the generated characteristic information. The second generation unit generates, for the monitoring item corresponding to the set criterion information, characteristic information indicating a variation state of detection values in a target image forming apparatus. The prognosis unit predicts whether a trouble occurs after the operating condition is changed, based on a difference between the set criterion information and the characteristic information generated.

Image forming system, prognosis criterion setting apparatus, prognosis apparatus, image forming apparatus and non-transitory computer-readable recording medium

An image-forming system includes a determining section that, for each type of malfunction in image-forming apparatuses, determines a reference number of occurrences of the type of malfunction based on at least one of (1) a distribution of the number of apparatuses in which the type of malfunction has occurred against the number of occurrences of the type of malfunction and (2) a distribution of the number of apparatuses on which maintenance has been carried out against the number of occurrences of the type of malfunction; an extracting section that extracts a subgroup of apparatuses in which the malfunction has occurred a number of times larger than or equal to the reference number of occurrences; and a setting section that sets a criterion for maintenance based on a time series tendency of occurrence of the malfunction in an apparatus on which maintenance has been carried out in the subgroup.

Image-forming system, criterion-setting apparatus, and storage medium

A medium transport device includes a sensor unit, a timing data collection unit, and a sampling resolution changing unit. The sensor unit is provided in a transport path of a print recording medium to detect a transport timing of the print recording medium. A timing data collection unit receives an output from the sensor unit and samples the output at a sampling interval as timing data. A sampling resolution changing unit changes the sampling interval.

Medium transport device, control program for medium transport device and control method for medium transport device

An image processing apparatus includes a determination unit determining, based on a pixel value of a prescribed background color area in image data obtained by inputting a printed image, and based on information regarding a color of a toner used in printing the image, whether or not the background color of the image corresponds to the color of the toner.

Method and apparatus for detecting defects in an image forming apparatus

An image defect diagnostic system includes: an acquiring unit acquiring image data for a test target image; an image defect detecting unit detecting image defects in the test target image; a coordinate conversion processor performing coordinate conversion processing to convert position coordinate information on the image defects into position coordinate information in each rotated coordinate system by every predetermined angle by using a coordinate point in the test target image as rotation center coordinates; an occurrence state detecting unit detecting an occurrence state of the image defects in each rotated coordinate system by using the position coordinate information; a setting unit setting a coordinate rotation angle for the coordinate conversion processing on the basis of the occurrence state; and a feature amount extracting unit extracting a feature amount characterizing the image defects, by using the position coordinate information in a coordinate system rotated by the coordinate rotation angle.

Image defect diagnostic system, image forming apparatus, image defect diagnostic method and computer readable medium

A paper wrinkle sign monitoring device includes: at least one timing detecting unit that is set on a transport path of a printing medium, and that detects transport timing of the printing medium; and a sign output unit that detects a sign of paper wrinkle generation in the transporting time of the printing medium based on the transport timing of the printing medium detected by the timing detecting unit, and that outputs the sign.

Paper wrinkle sign monitoring device, paper wrinkle sign monitoring method, and computer readable medium

A detected data processing apparatus includes a selecting unit that calculates mutual correlation between a plurality of groups of detected data acquired from a detecting unit that detects an operational state of a circuit board, and then selects as analysis data the detected data of a group whose value indicating correlation with other groups is smaller than a threshold value set up in advance; and a first calculating unit that calculates a first Mahalanobis distance on a basis of a first Mahalanobis space generated by using the analysis data selected by the selecting unit from the detected data obtained when a normal circuit board is operated and on a basis of the detected data obtained when a circuit board of diagnosis target is operated.

Detected data processing apparatus and computer readable medium for detecting data

According to an aspect of the present invention, there is provided a failure diagnosis system including: a causal relationship information storage unit configured to store causal relationship information representing a causal relationship between events regarding a diagnosis-target apparatus, the causal relationship information including: common causal relationship information that is commonly used in a plurality of types of failure diagnosis regarding the diagnosis-target apparatus; and specific causal relationship information that is used in each specific type of failure diagnosis among the plurality of types of failure diagnosis; and a diagnosis execution unit configured to selectively execute the plural types of failure diagnosis by using a combined causal relationship information that is a combination of the common causal relationship information and a piece of the specific causal relationship information corresponding to a diagnosis-target type of failure diagnosis.

Failure diagnosis system, a failure diagnosis device, an information update device, and a computer-readable medium

A transport device includes a feed unit that feeds transport subjects being loaded in a loading portion one by one in a transport direction, a protrusion amount detection unit that detects a protrusion amount of the transport subjects from the loading portion in the transport direction and an overlap feed sign detection unit that detects a sign of occurrence of overlap feed of the transport subjects based on a detection result of the protrusion amount.

Transport device, overlap feed sign detection device, and computer readable medium

A failure analysis system includes an obtaining portion that obtains read-in image information that is image information obtained by reading an output image, a memory that stores fundamental image reduction information that is information in which an information amount of fundamental image information is reduced, the fundamental image information serving as a fundamental of the output image, a calculating portion that calculates a characteristic value of a projecting waveform by use of differential information between read-in image reduction information and the fundamental image reduction information, the read-in image reduction information being information in which the information amount of the read-in image information obtained by the obtaining portion is reduced, the fundamental image reduction information being stored in the memory; and a determining portion that determines a defect type group that is a group of defect types of elements included in the output image by use of a clustering process.

Failure analysis system, failure analysis method, and program product for failure analysis

A failure diagnosis system includes a first database, a second database, an observation-information acquiring unit, a determination-probability calculating unit and an occurrence-probability calculating unit. A first cause-and-effect network stored in the first database stochastically represents a relationship between failure-type candidates and first observation information, which have cause-and-effect relationships with the failure-type candidates. Each second cause-and-effect network stored in the second database stochastically represents relationships between second observation information and failure-cause candidates. The observation-information acquiring unit acquires the first and second observation information from a diagnosed system. The determination-probability calculating unit calculates a determination probability of each failure-type candidate based on the first observation information and the first cause-and-effect network. The occurrence-probability calculating unit calculates occurrence probabilities of the failure-cause candidates for each failure-type candidate based on the second observation information and the second cause-and-effect networks.

Failure diagnosis system, image forming apparatus, computer readable medium and data signal

A failure prevention diagnosis support system includes: an acquiring portion that acquires internal information about an internal state of an image forming apparatus; a storage portion that stores 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; and a controller that performs a control operation to select a logistic regression model from the one or the plurality of the logistic regression models stored in the 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 by the acquiring portion or the value obtained from the internal information to the selected logistic regression model.

Failure prevention diagnosis support system, failure prevention diagnosis support method, and program product of failure prevention diagnosis support

A trouble sensing device has a first unit and a second unit. The first unit determines a total sum of driving current of two or more of a plurality of driving mechanisms that are turned on. The second unit judges whether trouble has arisen based on the total sum of the driving current.

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Kanagawa, Japan

Koki Uwatoko