Abstract: An indicator generating method for generating an indicator which is suitable for maintenance prediction of a water heating system is proposed. A power state indication device generates a high power consumption signal if a heating device of the water heating system is activated. The time duration of the activation is such an indicator, if no water flow is present. Furthermore, the time interval between subsequent activations is such an indicator. A predictive maintenance method processes these condition-based indicators and determines a remaining useful lifetime according to a predictive maintenance model. The predictive maintenance device outputs a maintenance signal indicating required maintenance, if the remaining useful lifetime drops below a predetermined threshold. The methods may be performed by water heating systems or beverage makers.

Abstract: A computer-implemented update management method for managing transfer of an application state from a source node to at least one target node of a distributed control system, includes identifying a first part of the application state which can be transferred independently of a second part of the application state; determining that the first part can be transferred from the source node to the at least one target node during one execution cycle of the application; performing a first partial update by transferring the first part of the application state from the source node to the at least one target node during a first execution cycle of the application; and performing a second partial update by transferring the second part of the application state from the source node to the at least one target node during a second, subsequent execution cycle of the application.

Abstract: A system and method provides an impact list of affecting equipment elements that affect an industrial sub-process. The method comprises the steps of selecting, in a topology model, the sub-process, wherein the sub-process is an equipment element that is a part of an industrial plant or process, and wherein the topology model is a graph, whose nodes represent equipment elements and whose edges represent interconnections between the equipment elements; traversing the nodes of the topology model, wherein the traversing starts from the selected sub-process and uses a traversing strategy; and for each of the at least one equipment elements, if the equipment element affects the industrial sub-process by an affecting degree greater than a first predefined affecting degree, adding the equipment element to the impact list of affecting equipment elements.

Abstract: A decision support system and method for an industrial plant is configured and operates to: obtain a causal graph modeling causal assumptions relating to conditional dependence between variables in the industrial plant; obtain observational data relating to operation of the industrial plant; and perform causal inference using the causal graph and the observational data to estimate at least one causal effect relevant for making decisions when operating the industrial plant.

Abstract: A method is disclosed for determining vibrational anomalies of a vehicle. An object is removably attached to a wheel of the vehicle in a manner that inhibits the object from coming off of the vehicle when the vehicle is in operation. The object includes one or more inertial measurement units (IMU's) mounted to the object and configured to measure parameters that are used for calculating the vibrational anomalies when the vehicle is in operation. Motion data captured by the one or more IMU's is collected. The collected motion data is processed to determine the presence of one or more vibrational anomalies of the vehicle. A recommended corrective action to be taken is determined when the result of the processed data indicates the presence of one or more vibrational anomalies of the vehicle.

Abstract: A system and method for real time updating of process applications includes a first execution engine executing a first process application to control a process device, an update manager receiving an updated software, the update manager being a second software container deployed in the deployment unit; initializing the updated software in a second execution engine; determining an application state of the first process application; instructing a transfer of the application state from the first execution engine to the second execution engine; instructing the second execution engine to execute the updated process application using the received application state; and instructing the first execution engine to stop writing output signals for the process device, and instructing the second execution engine to write output signals for the process device.

Abstract: A portable, hydrocarbon well test unit for use with high temperature and high-pressure hydrocarbon wellbore flow includes a two-phase separator unit having a hydrocarbon inlet, a vapor outlet and a liquid outlet. A static mixer is in fluid communication with the liquid outlet. A liquid sampler positioned downstream of the static mixer ensures that liquid and gas are mixed to accurately represent a sample of the wellbore hydrocarbon flow. The sampler can be actuated to extract a sample of the mixed fluid. The sampler directs samples to a multi-position valve having a plurality of valve outlets, each outlet being in fluid communication with one of a plurality of sample bottles. A controller actuates the multi-position valve to direct a sample into a particular sample bottle, thereby allowing different types of samples to be taken over different time periods without the need for intervention for extended periods of time.

Abstract: The invention relates to a method for manufacturing a composite component of a timepiece or of a jewelry part, the composite component comprising a porous ceramic part and a metallic material filling the pores of said ceramic part, said method comprising the steps of: providing a porous ceramic preform of the component, providing a metallic material, heating the metallic material to a temperature higher than the melting point of the metallic material, filling the pores of the ceramic preform with the molten metallic material, cooling the metallic material and the ceramic preform to obtain a solidified metallic material in the pores of the ceramic preform, and applying finishing treatments to obtain the composite component, wherein said porous ceramic preform consists essentially of a material selected from the group consisting of Si3N4, SiO2 and mixtures thereof, and said metallic material is selected from the group consisting of gold, platinum, palladium metals and alloys of these metals.

Abstract: A portable, hydrocarbon well test unit for use with high temperature and high-pressure hydrocarbon wellbore flow includes a two-phase separator unit having a hydrocarbon inlet, a vapor outlet and a liquid outlet. A static mixer is in fluid communication with the liquid outlet. A liquid sampler positioned downstream of the static mixer ensures that liquid and gas are mixed to accurately represent a sample of the wellbore hydrocarbon flow. The sampler can be actuated to extract a sample of the mixed fluid. The sampler directs samples to a multi-position valve having a plurality of valve outlets, each outlet being in fluid communication with one of a plurality of sample bottles. A controller actuates the multi-position valve to direct a sample into a particular sample bottle, thereby allowing different types of samples to be taken over different time periods without the need for intervention for extended periods of time.

Abstract: A system for optimal drive configuration using machine learning; the system includes: a data collector configured to collect data and establish correlations among the collected data; a training data set generator configured to compute configuration sets based on the collected data and based on the established correlations, further configured to compute measured success values for the configuration sets, further configured to generate training data sets that include the configuration sets together with corresponding measured success values; a machine learning module, configured to predict predicted success values for calculated configuration sets using the training data sets provided by the training data set generator using machine learning algorithm; and an optimization module, configured to order the calculated configuration sets, including a simulation module, configured to simulate the calculated configuration sets.

Abstract: A group of hollow modules through which the material to be extruded flows, is provided that includes at least: a rectangular heating-shaping module, in which the material undergoes a temperature increase and takes on the desired shape; and a tubular cooling-solidification module, in which the material changes from liquid to solid. A heating-reaction module is provided upstream of the heating-shaping module. The heating-reaction module includes an interchangeable hollow tube with an external heating system. The heating-shaping module includes detachable parts and includes another external heating system based on the auto-acceleration of the curing reaction and of the heat supply from said external heating system. The tubular portion between the heating-reaction module and the heating-shaping module includes a shaping coupling equipped with a through-hole. The extrusion module includes a circuit through which the polymer flows into at least two push compartments.

Abstract: A computer-implemented method of training an artificial intelligence module for selecting at least one component of an industrial drive system and an apparatus that includes a correspondingly trained AI module are described. The method includes providing an initial training data set that includes a set of rules, where each rule is indicative of a selection decision for selecting at least one component of the industrial drive system based on at least one usage requirement for the industrial drive system. Further, a modified training data set is generated based on supplementing the initial training data set with at least one further selection decision for selecting the at least one component of the drive system based on at least one of simulation data, empiric data, and operational data. Further, the AI module is trained based on the modified training data set.

Abstract: A method for manufacturing an austenitic stainless steel workpiece including the following successive steps: 1) providing a powder and sintering the powder to form a sintered alloy with an austenitic structure; the alloy having a nitrogen content greater than or equal to 0.1% by weight, 2) treating the sintered alloy to transform the austenitic structure into a ferritic structure or ferrite+ austenite two-phase structure on a surface layer of the alloy, 3) treating the sintered alloy to transform the ferritic or ferrite+ austenite two-phase structure obtained in step 2) into an austenitic structure and, after cooling, forming the workpiece which, on the layer subjected to the transformations in steps 2) and 3), has a density higher than that of the core of the workpiece. The present description also relates to the workpiece obtained by the method which has a very dense surface layer (?99%).

Abstract: A method for determining an interdependency between a plurality of elements in an industrial processing system includes: providing a process flow diagram (PFD) of a topology of the processing system; transforming the PFD into a directed graph, each element of the plurality of elements being transformed into a node and each relation between the plurality of elements being transformed into a directed edge; selecting one node of the plurality of nodes as a starting node; and constructing a subgraph, the subgraph including all the nodes that are forward-connected from the starting node so as to show at least one interdependency between the plurality of elements in the subgraph.

Abstract: A method for applying machine learning to an application includes: a) generating a set of candidate parameters by a learner; b) executing a program in at least one simulated application based on the set of candidate parameters and providing interim results of tested sets of candidate parameters based on a measured performance information of the execution of the program; c) collecting a predetermined number of interim results and providing an end result based on a combination of the candidate parameters and the measured performance information by a trainer; and d) generating a new set of candidate parameters by the learner based on the end result for execution by the unchanged program.

Abstract: A method for applying machine learning to an application includes: a) generating a candidate policy by a learner; b) executing a program in at least one simulated application based on a set of candidate parameters provided based on the candidate policy and a state of the at least one simulated application, execution of the program providing interim results of tested sets of candidate parameters based on a measured performance information of the execution of the program; c) collecting a predetermined number of interim results and providing an end result based on a combination of the candidate parameters and/or the state with the measured performances information by a trainer; and d) generating a new candidate policy by the learner based on the end result.

Abstract: A decorative item made from a moulded material having a density of between 2 and 7 g/cm3, wherein the moulded material includes by weight: 60 to 90% of a metallic or ceramic material having a density higher than or equal to 5 g/cm3, 10 to 32% of a plastic material including a thermoplastic resin and a coupling agent, 0 to 8% of a reinforcement, 0 to 3% of a pigment. Also, a method of manufacturing this decorative item by injection moulding.

Abstract: An indicator generating method for generating an indicator which is suitable for maintenance prediction of a water heating system is proposed. A power state indication device generates a high power consumption signal if a heating device of the water heating system is activated. The time duration of the activation is such an indicator, if no water flow is present. Furthermore, the time interval between subsequent activations is such an indicator. A predictive maintenance method processes these condition-based indicators and determines a remaining useful lifetime according to a predictive maintenance model. The predictive maintenance device outputs a maintenance signal indicating required maintenance, if the remaining useful lifetime drops below a predetermined threshold. The methods may be performed by water heating systems or beverage makers.

Abstract: An easy-to-manufacture wide-band antenna arrangement and a kitchen appliance including this antenna arrangement are provided. A resonating part of the antenna arrangement has a flat shape, its outer edges have an elliptical curvature and a coaxial cable is located at a feed in a slit in the middle of the resonating plate. The resonating plate is parallel to a ground plane, and together those parts form a planar inverted-F antenna. Such an antenna is useful in combination with a kitchen hob and sensor applications that wirelessly communicate with the kitchen hob, e.g. for improving cooking results.

Abstract: A method, a system and computer program products for securely enabling in-network functionality over encrypted data sessions, the method involving establishing an encrypted data session between a client communication application (100) and a server communication application (200) over a communication network; receiving and/or transmitting, by the client communication application (100), in the established encrypted data session, at least one encrypted communication data (D) from/to the server communication application (200) through a computing network element (M); and performing, by the computing network element (M), different actions other than data packet forwarding from one communication application to the other on the encrypted communication data (D). The encrypted communication data (D) has a plurality of data portions, or contexts, (CTX), each encrypted by a context key, and the different actions being specific for the computing network element (M) and for one or more of the contexts (CTX_X).