Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A fault diagnosis section activates a driving component alone, measures an operation state signal and a paper passage time, and stores feature values (Vm, ?v, Tqs, ?ts) extracted as a determination reference in a storage medium. A paper passage fault determination section determines whether or not a fault has arisen on the basis of the paper passage time when an apparatus is under normal operating conditions. A diagnosis target block determination section determines an order to operate a detail fault diagnosis when it is determined that there is a plurality of diagnosis target blocks.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A fault diagnosis section activates a driving component alone, measures an operation state signal and a paper passage time, and stores feature values (Vm, ?v, Tqs, ?ts) extracted as a determination reference in a storage medium. A paper passage fault determination section determines whether or not a fault has arisen on the basis of the paper passage time when an apparatus is under normal operating conditions. A diagnosis target block determination section determines an order to operate a detail fault diagnosis when it is determined that there is a plurality of diagnosis target blocks.

Abstract: A circuit board inspection device for inspecting the operation of a circuit board having a predetermined part or wire formed therein includes a supporting substrate disposed substantially in parallel with the parts mounting surface of the circuit board, and a signal change detection unit made of a coil or a capacitor disposed in a position of the supporting substrate corresponding to the part or wire of the circuit board, with the supporting substrate being disposed substantially in parallel with the circuit board.

Abstract: An image defect inspecting apparatus of the present invention includes a template image producing section for producing a template image from reference image data, a corresponding image extracting section for extracting a predetermined image located at a position corresponding to a template image from digital data of a scanned image for inspection, data embedding sections for embedding desired same pattern data into the template image and the image extracted by the corresponding image extracting section, a normalized correlation value calculation processing unit for acquiring a normalized correlation coefficient from the template image and the extracted image, into which the pattern data is embedded, and a defect judging section for judging as to whether a defect is present by comparing the normalized correlation coefficient acquired by the normalized correlation value calculation processing unit with a predetermined threshold value so as to acquire a large/small relationship thereof.

Abstract: A fault diagnosis section activates a driving component alone, measures an operation state signal and a paper passage time, and stores feature values (Vm, ?v, Tqs, ?ts) extracted as a determination reference in a storage medium. A paper passage fault determination section determines whether or not a fault has arisen on the basis of the paper passage time when an apparatus is under normal operating conditions. A diagnosis target block determination section determines an order to operate a detail fault diagnosis when it is determined that there is a plurality of diagnosis target blocks.

Abstract: A fault diagnosis section activates a driving component alone, measures an operation state signal and a paper passage time, and stores feature values (Vm, ov, Tqs, ots) extracted as a determination reference in a storage medium. A paper passage fault determination section determines whether or not a fault has arisen on the basis of the paper passage time when an apparatus is under normal operating conditions. A diagnosis target block determination section determines an order to operate a detail fault diagnosis when it is determined that there is a plurality of diagnosis target blocks.

Abstract: A trouble sensing device has a first unit and a second unit. The first unit determines total sum of driving current of a plurality of driving mechanisms. The second unit judges whether trouble has arisen based on the total sum of the driving current.