A container handling machine, such as a container filling machine or container closing machine, and a method of operation thereof. The abstract of the disclosure is submitted herewith as required by 37 C.F.R. 1.72(b). As stated in 37 C.F.R. 1.72(b): A brief abstract of the technical disclosure in the specification must commence on a separate sheet, preferably following the claims, under the heading Abstract of the Disclosure. The purpose of the abstract is to enable the Patent and Trademark Office and the public generally to determine quickly from a cursory inspection the nature and gist of the technical disclosure. The abstract shall not be used for interpreting the scope of the claims. Therefore, any statements made relating to the abstract are not intended to limit the claims in any manner and should not be interpreted as limiting the claims in any manner.

An actuator of a machine is controlled by a control device with a controller structure in a normal operating mode and a special operating mode. The control device determines from a position setpoint value and a position actual value a control signal for the actuator. In the normal operating mode, the setpoint values are determined using a utility program, and in the special operating mode by a system program that is different from the normal operating program. In the special operating mode, a frequency characteristic for the actuator is determined on the basis of the sequence of setpoint values and associated actual values, and an evaluation for the actuator and/or of the controller structure is performed using the frequency characteristic and parameters of the controller structure. Depending on the evaluation, a message is transmitted to an operator of the machine or to a computing device over a network.

A system for adaptable trend detection for component condition indicator data includes a sensor operable to measure an operating condition of a vehicle and generate a sensor signal associated with the operating condition and a data server operable to acquire a current condition indicator of a condition indicator set according to the sensor signal, and to determine whether a trend in the condition indicator set is indicated according to at least the current condition indicator, at least one previous condition indicator of the condition indicator set and a volatility of at least a portion of the condition indicator set. The data server is further operable to provide an alert in response to determining that the trend is indicated.

A data processing device according to one aspect of the present invention includes an extractor configured to extract time-series data indicating observed values at points in time in an analysis range from a first point in time to a second point in time, and a first calculator configured to calculate a gradient of a linear function indicating a trend of change in the observed values in the analysis range to minimize an objective function. The objective function indicates a sum of multiplication values at the points in time within the analysis range, the multiplication value is a numerical value obtained by multiplying a square of a difference between a function value of the linear function and the observed value by a weighting coefficient, and the weighting coefficient is a numerical value that increases as an elapsed time from the first point in time to each point in time increases.

An information provision apparatus whereby information regarding a malfunction or problem that occurred during the use of a prescribed model of home appliance can be shared with users using the same model of home appliance. A device (20) has the following: a presentation-information reception unit (21) that receives presentation information generated by a server (10) and stores the presentation information in a prescribed storage unit; and a presentation unit (22) that presents the presentation information to the user of the device (20), the presentation information having been read out from the aforementioned storage unit. The presentation information indicates malfunctions or problems that occurred in devices that are the same model as the abovementioned device (20) and were being used by other users.

A data processing apparatus includes an acquisition circuit that acquires time-series data comprising a plurality of values observed in a plurality of channels at a plurality of points in time; a change trend calculation circuit that calculates a change trend of the observed values at each of the points in time on a channel-by-channel basis; a memory that stores a plurality of judgment tables each indicating a change trend of previous values at each of the points in time within a predetermined time period up to the current point in time; a comparison circuit that compares change trend data comprising a set of change trends of the observed values for each of the channels within the predetermined time period with the judgment tables; and a notification output circuit that outputs a notification related to a temporal change in the observed values on the basis of a result of the comparison.

Disclosed herein are systems, devices, and methods related to assets and predictive models and corresponding workflows that are related to the operation of assets. In particular, examples involve assets configured to receive and locally execute predictive models, locally individualize predictive models, and/or locally execute workflows or portions thereof.

A system that allows a contractor to remotely monitor and/or interact with its customers' building control systems, such as heating, ventilating and air conditioning (HVAC) systems, and analyze information obtained from the building control systems over time. Such a system may help the contractor monitor and diagnosis customer building control systems, setup service calls, achieve better customer relations, create more effective marketing opportunities, as well as other functions. In some cases, the disclosed system may include a controller that analyzes data from HVAC systems, determines a thermal model of a space environmentally controlled by an HVAC system, and provides an energy audit of the space that is environmentally controlled by the HVAC system. The controller may output a result of the energy audit to a user.

Mechanical condition monitoring of robots can be used to detect unexpected failure of robots. Data taken from a robot operation is processed and compared against a health baseline. Features extracted during the monitoring stage of robot operation are aligned with features extracted during the training stage in which the health baseline is established by projecting both onto a common subspace. A classifier which can include a distance assessment such as an L2-norm is used within the common subspace to assess the condition of the robot. Excursions of the distance assessment from a criteria indicate a failure or potential failure.

A production system, a drive and an operating method provide the functions of quality measurement and mechanism diagnosis. The production system has a hierarchical processing structure. The drive includes a real system driving module and a virtual system driving module. The real system driving module generates a mechanism real operation parameter information. In a system identification mode, the drive creates at least one virtual mechanism model. The drive generates a mechanism stimulation operation parameter information according to a processing strategy of a controller, the mechanism real operation parameter information and the at least one virtual mechanism model. The controller performs a quality measurement operation, performs a mechanism diagnosis operation and/or adjusts the processing strategy according to the mechanism real operation parameter information and the mechanism stimulation operation parameter information.