A maintenance control program for use in maintaining mechanical and electro-mechanical equipment is provided. The maintenance control program includes a completed survey of the mechanical and electro-mechanical equipment. The completed survey is configured to document the physical characteristics of the mechanical and electro-mechanical equipment and an assessment of a plurality of metrics concerning the mechanical and electro-mechanical equipment. An algorithm is configured to apply values to the assessment of the plurality of metrics. A schedule of code required maintenance tasks is developed for the mechanical and electro-mechanical equipment, wherein an interval of the required maintenance tasks is determined by the algorithm based on the values applied to the assessment of the plurality of metrics.

A resource allocation system for a production facility stores: a production schedule assigning production tasks to machines of the production facility, each production task comprising a production time window during which a machine is occupied with the production task; a maintenance schedule assigning maintenance tasks to service resources, each maintenance task comprising a maintenance time window during which a machine is occupied with the maintenance task; and a maintenance plan comprising maintenance rules for generating maintenance tasks, the maintenance rules at least comprising a scheduling rule from which a time after which a machine has to be maintained is derivable. The resource allocation system is configured for determining maintenance tasks for machines based on the maintenance rules, wherein the time window of a maintenance task for a machine is determined from a previous maintenance task, the scheduling rule for the machine and the production tasks for the machine, such that the time window of the maintenance task does not overlap with the production tasks.

Provided is a control apparatus, including a control unit, configured to control a control target by a machine learned control model to output an operation amount of the control target according to a state of equipment having the control target provided therein; a prediction unit, configured to predict a future state of the equipment; an adjusting unit, configured to adjust the operation amount based on a predicted result; and an output unit, configured to output an adjusted operation amount to the control target.

This machine tool system uses a plurality of mobile robots to convey workpieces to a plurality of machine tools, the machine tool system being provided with: machine tool control unit that issues work requests to the machine tools; a mobile robot control unit that determines workable times for the mobile robots on the basis of the work requests; and a determining unit that compares the workable times which are for the mobile robots and respectively planned by the mobile robots, and causes the mobile robot with the fastest workable time to execute the requested work.

Embodiments disclosed herein may include methods, systems, and tangible, non-transient, computer-readable media having instructions thereupon for determining a damage state of a wind turbine gearbox. A method performed, executed on a processor of a system, or implemented by a processor as instructions, may comprise producing a damage state diagnostic, producing a damage progression model for the wind turbine gearbox using operational data and a state transition function, and combining the damage state diagnostic with the damage progression model using a hybrid prognostics model to produce a probability distribution of a current damage state estimate. Producing the damage state diagnostic may comprise obtaining a measurement dataset for the wind turbine gearbox, integrating field-operator-provided intelligence into the measurement dataset, normalizing the measurement dataset with respect to a known failure behavior for the wind turbine gearbox, and combining the normalized measurement dataset with the known failure behavior to produce the damage state diagnostic.

An operation plan creation device includes: an operation information creation unit configured to receive an input of a simple setting including information with which an operation period of a device is identifiable, information with which an inspection interval is identifiable, and an inspection pattern with which a component to be replaced in an inspection is defined in advance and to create operation information including an inspection period and a replacement scheduled component in the operation period of the device; a component information acquisition unit configured to acquire component information including lifespan information and stock quantity information about each of the components, based on use history information about each of the plurality of components; a dummy information creation unit configured to create, when the acquired component information includes missing information, dummy information to be used instead of the missing information; and a plan creation unit configured to create the operation plan for the components related to the device based on the operation information and the component information or the dummy information.

A method for maintaining, commissioning and checking systems in warehouses, where a service technician has sight of the system in question and, by way of a mobile computer, makes wireless contact with the controller of the system in order to take control thereof, where taking control by the mobile computer is permitted by a central controller only if the service technician can have sight contact with the corresponding system, for which purpose localization services of a local radio network are used for the determination of the position and/or of the orientation of the mobile computer of the service technician.

One embodiment is a system including a component for installation on a vehicle comprising a central maintenance computer (“CMC”); a configuration/maintenance module (“CMM”) associated with the component and including memory for storing component information, a sensor for detecting a condition and generating data indicative thereof; a microprocessor for processing the sensor data and updating the component information with the processing results; and a communications interface between the CMM and the CMC. The system further includes a remaining useful life (“RUL”) module associated with the component that periodically updates an RUL, the RUL module periodically updating an RUL value for the component and communicating the updated RUL value to the CMM for storage in the memory. The CMC communicates with the CMM to update the component information included in the memory based on information input to the CMC by a user or changes in a condition of the vehicle.

A maintenance plan formulation device includes: a failure sign detection unit that acquires a state of at least an apparatus and detects an abnormality indicating a sign that appears before a failure of the apparatus occurs; a maintenance limit timing calculation unit that calculates a maintenance limit timing that indicates a limit of a maintenance timing of the apparatus with the abnormality thereof being detected; a maintenance timing calculation unit that calculates a maintenance timing of the apparatus based on the maintenance limit timing of the apparatus; and a maintenance timing output part that outputs the maintenance timing to a display apparatus.

A method for increasing a meantime between service visits in an industrial system includes receiving event information from at least one information source, building an event network from the received event information, identifying a sequence of events indicative of a fault, and determining a cost-minimizing resolution to address the fault, wherein the event network is configured to identify a sequence of events that do not occur in direct chronological sequence. A services diagnostic engine may be configured to receive the event information, extract features of each event in the event information, identify a relationship between a first event and a second event and create a logical connection between the first and second event. The cost minimizing recommendation includes a remote operation to reset a component, for example remotely resetting a circuit breaker. The cost minimizing recommendation may be carried out automatically or presented to a user for consideration.