Abstract: Provided is a maintenance operation assistance system comprising: a failure knowledge database wherein failure knowledge data is recorded; a failure knowledge coupling unit for reconstructing partial failure knowledge data into failure knowledge data; and an inspection procedure generation unit for presenting an inspection procedure using the reconstructed failure knowledge data. The failure knowledge coupling unit evaluates and adjusts the relatedness of nodes among different instances of partial failure knowledge data, and connects the different instances of partial failure knowledge data. On the basis of the reconstructed failure knowledge data, the inspection procedure generation unit sets priorities for when presenting the inspection procedure, and presents the inspection procedure to a diagnostic interface unit in accordance with the priorities.

Abstract: Sensor combinations that are effective for failure sign diagnosis are automatically generated in consideration of hidden relationships between sensor data. The present invention includes: a time shift data generation unit 106 that processes sensor data acquired from an instrument and generates the processed sensor data; and a sensor combinations/pre-processing condition generation unit 112 that generates sensor combinations on the basis of correlation coefficients between the sensor data and the processed sensor data, and generates, as a preprocessing condition, a processing condition that increases a correlation coefficient between sensors for each sensor combination, in which the failure sign diagnosis of the instrument is performed on the basis of a change in the relationship between the sensor data included in the sensor combination and the processed sensor data.

Abstract: A fault finding support system is a fault finding support system for instructing a maintenance worker of an appropriate examination location and examination contents using fault knowledge data in which a causal relationship of fault of a target machine is described, the system including: an examination procedure creation unit that creates an examination procedure with respect to the examination location and the examination contents of the target machine using the fault knowledge data, an examination result storage unit that stores an examination history of performing examination using the examination procedure created by the examination procedure creation unit, an update target extraction unit that recommends an update location of the fault knowledge data using the examination history stored in the examination result storage unit, and a user interface that provides a function of displaying a location extracted by the update target extraction unit and updating the fault knowledge data.

Abstract: The invention provides a maintenance recommendation system in which an inspection item is presented timely in the halfway of an inspection, accuracy of failure mode identification is improved, a failure mode is identified at an early stage, meanwhile, a time required for investigating a content of the failure is reduced, and a time from device failure to reset is shortened. The maintenance recommendation system includes: a primary storage unit that stores an input inspection result; a failure mode probability calculation unit that is configured to calculate a probability of a failure mode based on the inspection result stored in the primary storage unit; an inspection item search unit that is configured to extract an inspection item with the minimum inspection score from uninspected inspection items; and a main routine operation unit that is configured to narrow down a failure mode candidate and an inspection item candidate from all inspection items.

Abstract: Sensor combinations that are effective for failure sign diagnosis are automatically generated in consideration of hidden relationships between sensor data. The present invention includes: a time shift data generation unit 106 that processes sensor data acquired from an instrument and generates the processed sensor data; and a sensor combinations/pre-processing condition generation unit 112 that generates sensor combinations on the basis of correlation coefficients between the sensor data and the processed sensor data, and generates, as a preprocessing condition, a processing condition that increases a correlation coefficient between sensors for each sensor combination, in which the failure sign diagnosis of the instrument is performed on the basis of a change in the relationship between the sensor data included in the sensor combination and the processed sensor data.

Abstract: A maintenance management system includes: a failure information DB that stores at least a failure mode for each of diagnosis target assets; an automatic diagnosis definition DB that stores diagnostic criteria for diagnosing failure modes of the diagnosis target assets; an automatic diagnosis unit that detects or predicts occurrence of a failure mode of a diagnosis target asset, based on a measurement value representing a state of the diagnosis target asset measured by a sensor and the diagnostic criteria; a maintenance method DB that stores in advance a maintenance method corresponding to a failure mode; an automatic diagnosis result log storage unit that records at least a diagnosis result by the automatic diagnosis unit and information regarding an alarm issued; and a maintenance work log storage unit that records at least a maintenance work content performed on the diagnosis target asset and includes a task performance analysis unit.

Abstract: The knowledge model construction system includes: a CAD data which stores a design information including information on configurations of the parts; an input unit which inputs an element knowledge model which includes a plurality of combinations, each of the combinations being a combination of an element knowledge and an establishment condition thereof, the element knowledge representing a causal relationship with respect to an asset; a knowledge model construction unit which extracts a combination of an element knowledge applicable to an object asset and an establishment condition thereof by comparing the CAD data of the object asset with the establishment conditions of the element knowledge model; and an object asset knowledge model which records the extracted combination of the element knowledge and the establishment condition thereof as a knowledge model. Thus, the knowledge model construction system is able to construct a knowledge model of a new asset with less man-hours.

Abstract: To efficiently implement a desired maintenance task improvement by formulating an optimum maintenance task and IoT introduction plan. An IoT comprehensive scenario generation unit 7000 that extracts an applicable IoT menu in IoT menus from a feature of a maintenance task that is a target, and generates an IoT application simulation setting, an IoT adjustment unit 8000 that executes IoT application simulation for the IoT application simulation setting, a maintenance task simulation unit 9000 that executes maintenance task simulation that incorporates IoT, and an evaluation unit 4000 that gives an instruction to the IoT adjustment unit 8000 to implement a next IoT application simulation so as to optimize an improvement by determining presence or absence of a task improvement based on a result of the maintenance task simulation, and presents an improvement result when the IoT application simulation is completed are included.

Abstract: Sensor data immediately after the issuance of an alarm does not exhibit the peculiarity of a failure, with the result that the wrong component is sometimes erroneously identified as the failure component. A failure component identification unit provided in a maintenance device collects an alarm issued when a measurement value exceeds a range of a measurement threshold value in an apparatus being a maintenance target. The failure component identification unit identifies the failure component on the basis of the measurement value exhibiting a condition indicating a peculiarity of the failure. An identification reliability determination unit determines the reliability of the component identification result obtained by a failure component identification unit.

Abstract: There is provided a failure mode specifying system or the like that suitably specifies a failure mode of an apparatus. A failure mode specifying system 10 includes a communication portion 11 that obtains data including a detection value of a sensor 22 which is installed in an apparatus 20, an apparatus structural parameter estimating portion 14 that estimates a predetermined apparatus structural parameter based on a structure and properties of the apparatus 20, based on the data which is obtained by the communication portion 11, a failure mode specifying portion 16 that specifies a failure mode indicating a kind of failure or failure sign of the apparatus 20, based on the apparatus structural parameter, and an input-output portion 18 that presents the failure mode which is specified by the failure mode specifying portion 16.

Abstract: Provided is a maintenance operation assistance system comprising: a failure knowledge database wherein failure knowledge data is recorded; a failure knowledge coupling unit for reconstructing partial failure knowledge data into failure knowledge data; and an inspection procedure generation unit for presenting an inspection procedure using the reconstructed failure knowledge data. The failure knowledge coupling unit evaluates and adjusts the relatedness of nodes among different instances of partial failure knowledge data, and connects the different instances of partial failure knowledge data. On the basis of the reconstructed failure knowledge data, the inspection procedure generation unit sets priorities for when presenting the inspection procedure, and presents the inspection procedure to a diagnostic interface unit in accordance with the priorities.

Abstract: The invention provides a maintenance recommendation system in which an inspection item is presented timely in the halfway of an inspection, accuracy of failure mode identification is improved, a failure mode is identified at an early stage, meanwhile, a time required for investigating a content of the failure is reduced, and a time from device failure to reset is shortened. The maintenance recommendation system includes: a primary storage unit that stores an input inspection result; a failure mode probability calculation unit that is configured to calculate a probability of a failure mode based on the inspection result stored in the primary storage unit; an inspection item search unit that is configured to extract an inspection item with the minimum inspection score from uninspected inspection items; and a main routine operation unit that is configured to narrow down a failure mode candidate and an inspection item candidate from all inspection items.

Abstract: A fault finding support system is a fault finding support system for instructing a maintenance worker of an appropriate examination location and examination contents using fault knowledge data in which a causal relationship of fault of a target machine is described, the system including: an examination procedure creation unit that creates an examination procedure with respect to the examination location and the examination contents of the target machine using the fault knowledge data, an examination result storage unit that stores an examination history of performing examination using the examination procedure created by the examination procedure creation unit, an update target extraction unit that recommends an update location of the fault knowledge data using the examination history stored in the examination result storage unit, and a user interface that provides a function of displaying a location extracted by the update target extraction unit and updating the fault knowledge data.

Abstract: Provided is a failure mode estimation system for estimating a failure mode of a device based on an inputted state of the device. The failure mode estimation system includes: a failure mode estimation unit that estimates a failure mode of the device on the basis of the inputted state of the device and a table in which correspondence between a failure mode of the device and an estimation standard is registered; and an update unit that updates the estimation standard registered in the table when a failure mode estimated by the failure mode estimation unit is incorrect.

Abstract: A maintenance management system includes: a failure information DB that stores at least a failure mode for each of diagnosis target assets; an automatic diagnosis definition DB that stores diagnostic criteria for diagnosing failure modes of the diagnosis target assets; an automatic diagnosis unit that detects or predicts occurrence of a failure mode of a diagnosis target asset, based on a measurement value representing a state of the diagnosis target asset measured by a sensor and the diagnostic criteria; a maintenance method DB that stores in advance a maintenance method corresponding to a failure mode; an automatic diagnosis result log storage unit that records at least a diagnosis result by the automatic diagnosis unit and information regarding an alarm issued; and a maintenance work log storage unit that records at least a maintenance work content performed on the diagnosis target asset and includes a task performance analysis unit.

Abstract: A method of locating train events on a railway network is provided.

Abstract: There is provided a failure mode specifying system or the like that suitably specifies a failure mode of an apparatus. A failure mode specifying system 10 includes a communication portion 11 that obtains data including a detection value of a sensor 22 which is installed in an apparatus 20, an apparatus structural parameter estimating portion 14 that estimates a predetermined apparatus structural parameter based on a structure and properties of the apparatus 20, based on the data which is obtained by the communication portion 11, a failure mode specifying portion 16 that specifies a failure mode indicating a kind of failure or failure sign of the apparatus 20, based on the apparatus structural parameter, and an input-output portion 18 that presents the failure mode which is specified by the failure mode specifying portion 16.

Abstract: Sensor data immediately after the issuance of an alarm does not exhibit the peculiarity of a failure, with the result that the wrong component is sometimes erroneously identified as the failure component. A failure component identification unit provided in a maintenance device collects an alarm issued when a measurement value exceeds a range of a measurement threshold value in an apparatus being a maintenance target. The failure component identification unit identifies the failure component on the basis of the measurement value exhibiting a condition indicating a peculiarity of the failure. An identification reliability determination unit determines the reliability of the component identification result obtained by a failure component identification unit.

Abstract: A method of operating a railway vehicle on a network of tracks forming one or more vehicle routes, includes providing: vehicle status information including the present track location of the vehicle, the route to be taken by the vehicle and operation profile information relating vehicle operational recommendations and/or requirements to track locations and to vehicle routes; and determining operational risks for the vehicle from the vehicle status information, the route to be taken by the vehicle and the operation profile information, each operational risk being the likelihood of future vehicle operation departing from the operation profile information at a given section of track or a given location on the route. Advisory notices for a driver of the vehicle are generated on the basis of the operational risks, and each advisory notice, when acted on by the driver, reduces the likelihood of future vehicle operation departing from the operation profile information.

Abstract: A method of locating train events on a railway network is provided.