A system (1) for assisting a field operator, in particular a maintenance field operator, by a remote assistant (51) equipped with a viewer (50) comprises a first group of components configured to be connected to a support (10) wearable on the operator's head, including a first video camera (11), a local viewer (13) arranged to be watched by the operator, a first control unit (15) and a first wireless connection interface (19). The system also comprises a handpiece (20) providing a visual sensor (21) such as a video camera or a thermal imaging camera, a serial port (24) for connecting a peripheral device (30) such as an instrument or a sensor or a video source, a second control unit (25) and a second connection interface (26). The connection interfaces (15,25) are configured for mutually changing, locally or through a remote server (99) available through a data network (3), data streams (12,22,32) coming from the video camera (11), from the visual sensor (21) or from the peripheral device (30), respectively, intended to be displayed by the local viewer (13). Moreover, the connection interfaces are configured for exchanging the data streams with the assistants (51) remote viewer (50) through the remote server (99). The system (1) also comprises a scenario-switching device (80) for displaying a same data stream of interest (42) at the same time to the local viewer (13) and to the remote viewer (50), said data stream of interest selected among data streams (12,22,32) related to the scenarios (11′,21′) framed by the video camera (11) and by the visual sensor (21), respectively, and to the data obtained from the peripheral device (30).

A maintenance plan assistance system 100 configured to include: holding, in a storage device 101, remaining life information relating to devices covered by a maintenance plan, and a list of maintenance menus; and a computation device 104 identifying a maintenance effect when each maintenance menu is applied to each of the devices based on the maintenance menus and temporal changes in failure probabilities of each of the devices indicated by the remaining life information, identifying a variable range of a condition-based maintenance implementation timing, the variable range being dependent on the maintenance effect, and determining a maintenance menu including the variable range for a predetermined maintenance timing, and outputting, to a predetermined device, information including the maintenance menu identified by the determination and the condition-based maintenance implementation timing changed to the predetermined maintenance timing.

An apparatus management system determines whether temporary operation is possible or not when an abnormality of an apparatus occurs, and performs the temporary operation when possible. The apparatus management system includes a storage unit, an acquisition unit, and an operation content determination unit. The storage unit stores information on repair of the apparatus in association with the abnormality occurring in the apparatus. The acquisition unit acquires the information on the repair of the apparatus and writes the information in the storage unit. The operation content determination unit determines operation content of the temporary operation. The information on the repair of the apparatus includes information on a repair request for the abnormality of the apparatus. The operation content determination unit determines the operation content of the temporary operation in accordance with whether the repair request is present or not.

Certain aspects of the present disclosure provide techniques for a method, including: receiving multi-dimensional event data associated with a vehicle event; determining, based on the multi-dimensional event data, an inspection classification for the vehicle event; receiving multi-dimensional analysis data associated with the inspection classification for the vehicle event; determining, based on the multi-dimensional analysis data, a repair classification for the vehicle event; receiving multi-dimensional action data associated with the repair classification for the vehicle event; and determining, based on the multi-dimensional action data, a monitoring classification for the vehicle event.

A method is provided for diagnosing a failure on an aircraft that includes aircraft systems and monitors configured to report effects of failure modes of the aircraft systems. The method includes receiving a fault report that indicates one or more of the monitors that reported the effects of a failure mode in an aircraft system of the aircraft systems, and accessing a fault pattern library that describes relationships between possible failure modes and patterns of those of the monitors configured to report the effects of the possible failure modes. The method also includes diagnosing the failure mode of the aircraft system from the one or more of the monitors that reported, and using the fault pattern library and a greedy selection algorithm, determining a maintenance action for the failure mode; and generating a maintenance message including at least the maintenance action.

A maintenance information management device includes an information registration unit configured to register vehicle identification information and maintenance information in a memory for each vehicle, an information update unit configured to update the maintenance information after the maintenance of the vehicle by adding maintenance contents to the maintenance information registered in the memory, and an information providing unit configured to provide the maintenance information when a provision request for the maintenance information is accepted.

A low toughness workpiece cutting apparatus, a low toughness workpiece manufacturing method and a low toughness workpiece manufacturing program for predicting an occurrence of defect and/or non-occurrence of defect before a cutting process of low toughness material. A defect prediction device is provided with a storage device, a processor and an interface. The storage device stores tool data that represent physical characteristics and a shape of a tool, cutting data that represent a group of parameters of a cutting process to be performed to a workpiece by use of the tool and material data that represent physical characteristics and a shape of the workpiece. The processor performs an analysis of deformation of the workpiece due to a cutting force and an analysis of fracture due to the deformation, and performs a prediction of an occurrence of defect and/or a non-occurrence of defect of the workpiece due to the cutting process.

A method is provided for assessing health of a mechanical system. The method includes receiving discontinuous system data that is obtained intermittently and is associated with health of the system and generating a discontinuous health index that is based on the discontinuous system data and receiving continuous system data that is obtained continuously and is associated with the health of the system and generating a continuous health index that is based on the continuous system data, wherein the discontinuous health index and the continuous health index are configured to be combinable. The method further includes combining the discontinuous health index and the continuous health index, generating an overall health index based on the combination of the discontinuous health index and the continuous health index, and automatically taking one or more actions to maintain or improve health of the mechanical system and/or avoid risk based on the overall health index.

A device maintenance apparatus, includes: a communication control part configured to control a communication with a device; a device information acquisition part configured to acquire device information of the device via the communication; a storage configured to store maintenance process information, the maintenance process information including device specifying information for specifying a maintenance target device and process specifying information for specifying details of a maintenance process; and an information processing part configured to compare the acquired device information to the stored maintenance process information, and to execute a maintenance process on the device based on the result of the comparison.

A predictive maintenance system for an irrigation system includes one or more sensors configured to generate a signal indicative of abnormal operation within the irrigation system, the sensors electrically coupled to a drive system, a processor, and a memory. The memory includes instructions stored thereon, which when executed by the processor cause the predictive maintenance system to receive the generated signal, determine abnormal operation of the drive system based on the generated signal, and predict, by a machine learning model, a maintenance requirement of the drive system based on the determined abnormal operation.