Provided is an information processing device, etc., that provides information which is the basis for quick detection of abnormalities that occur in a device. An information processing device calculates a degree of suitability between observation information and prediction information, the observation information observed for a system suffering an effect from an certain device, the prediction information predicted in accordance with a model for a state of the system; and calculates a difference between manipulation amount to the certain device and predictive manipulation amount predicted for the manipulation amount based on the model, the difference being a difference in case that the degree satisfies a predetermined calculation condition.

Provided is a method for manufacturing a conveyance device capable of accurately completing the conveyance device imagined by a customer in a relatively short time. In a method for manufacturing a conveyance device, one or a plurality of operation confirmation devices that visually confirms an operation of the conveyance device is used, the method includes exhibiting a desired operation of the conveyance device in a video by the operation confirmation device and confirming a required operation of the conveyance device in a specification confirmation step, inputting data for realizing the required operation or realizing an operation similar to the required operation to the operation confirmation device, and exhibiting the operation of the conveyance device in a video based on the data that has been input in a virtual operation confirmation step, and inputting the data to an actual individual controller of the conveyance unit in a data input step.

During drilling operations various drilling mud properties may be measured and predicted. Uncertainties in the measured or predicted values may also be calculated. The estimated uncertainties may then be used to optimize mud sampling interval and/or control a mud mixer. A decision making algorithm may be performed to optimize a surface mud sampling interval such that the uncertainties are maintained within a bounded region with minimal number of sampling times.

Provided is an information processing device, etc., that provides information which is the basis for quick detection of abnormalities that occur in a device. An information processing device calculates a degree of suitability between observation information and prediction information, the observation information observed for a system suffering an effect from an certain device, the prediction information predicted in accordance with a model for a state of the system; and calculates a difference between manipulation amount to the certain device and predictive manipulation amount predicted for the manipulation amount based on the model, the difference being a difference in case that the degree satisfies a predetermined calculation condition.

Methods, apparatus, systems, and articles of manufacture are disclosed to generate an asset health quantifier of a turbine engine. An example apparatus includes a health quantifier generator to execute a computer-generated model to simulate an operating condition of a turbine engine using asset monitoring information and generate an asset health quantifier of the turbine engine based on the simulation, and compare the asset health quantifier to a threshold, and a removal scheduler to identify the turbine engine for removal from service based on the comparison to improve an operation of the turbine engine by performing a workscope on the removed turbine engine.

During drilling operations various drilling mud properties may be measured and predicted. Uncertainties in the measured or predicted values may also be calculated. The estimated uncertainties may then be used to optimize mud sampling interval and/or control a mud mixer. A decision making algorithm may be performed to optimize a surface mud sampling interval such that the uncertainties are maintained within a bounded region with minimal number of sampling times.