A chiller or cooler is disclosed, including a self-test mechanism to simulate a sampling of normal operations and to compare the operating parameters resulting from such sampling against factory operational parameters adjusted for differences in operating parameters so as to eliminate unnecessary servicing or maintenance events.

A prediction model creation apparatus includes a feature amount acquisition unit that acquires values of types of feature amounts that are calculated from operating state data indicating an operating state of a production facility that produces a product, for both a normal time at which the production facility produces the product normally and a defective time at which a defect occurs in the product that is produced, a feature amount selection unit that selects a feature amount effective in predicting the defect from among the acquired types of feature amounts, based on a predetermined algorithm that specifies a degree of association between the defect and the types of feature amounts, from the values of the types of feature amounts acquired at the normal time and the defective time, and a prediction model construction unit that constructs a prediction model for predicting occurrence of the defect, using the selected feature amount.

A method includes obtaining data associated with operation of a vehicle and determining a first operational phase of the vehicle based on the data. The method includes identifying a candidate operational phase transition from the first operational phase to a candidate operational phase based on a first portion of the data satisfying a first condition associated with the candidate operational phase, the first portion of the data associated with a first time. The method includes evaluating a second portion of the data based on a second condition associated with the candidate operational phase, the second portion of the data associated with a second time that is subsequent to the first time. The method further includes, based on the second condition being satisfied, generating an operational phase transition indication associated with the first time and that indicates an operational phase transition to the candidate operational phase.

Device (1) for the provision of electric power, wherein the device (1) comprises: at least one integrated temperature sensor (3-1, 3-2) which detects an operating temperature progression of at least one component (2-1, 2-2) of the device (1) and a monitoring unit (5) which, on the basis of the at least one detected operating temperature progression and the adjusted power, monitors the operating state of a device cooling arrangement of the device (1).

Methods and systems autonomously parking and retrieving vehicles are disclosed. Available parking spaces or parking facilities may be identified, and the vehicle may be navigated to an available space from a drop-off location without passengers. Special-purpose sensors, GPS data, or wireless signal triangulation may be used to identify vehicles and available parking spots. Upon a user request or a prediction of upcoming user demand, the vehicle may be retrieved autonomously from a parking space. Other vehicles may be autonomously moved to facilitate parking or retrieval.

A method for monitoring and diagnosing anomalies in auxiliary systems of a gas turbine implemented using a computer device coupled to a user interface and a memory device, the method including storing a plurality rule sets in the memory device, the rule sets relative to the auxiliary systems of the gas turbine, the rule sets including at least one rule expressed as a relational expression of a real-time data output relative to a real-time data input, the relational expression being specific to parameters associated with the auxiliary systems of the gas turbine, receiving real-time and historical data inputs from a condition monitoring system associated with the gas turbine, the data inputs relating to process parameters associated with the auxiliary systems of the gas turbine, and estimating values for at least some of the parameters associated with the auxiliary systems of the gas turbine using the received inputs.

According to one embodiment, a system for digital process management comprises at least one memory and processor communicatively coupled to one another. The memory is operable to store input data, output data, and a process model, each associated with a digital process management system. The processor is operable to determine the process model, which comprises a set of rules, determine the input data based upon data received from a data source, and determine whether to initiate the process model based upon the input data. The system is further operable to execute the process model across two of an Internet-connected device, a gateway, and an enterprise by determining a state of a process, determining an activity based upon the state and the set of rules, executing the activity, determining results data, and determining the output data based upon the results data. The system is further operable to communicate the output data.

An innovative method is provided by which a complex electronic system for controlling a safety-critical technical process, for example driving an autonomous vehicle, can be implemented. A decision is made between simple and complex software, wherein the simple software is implemented on error-tolerant hardware and wherein a plurality of different versions of the complex software are simultaneously implemented in independent fault containment units (FCU) and wherein a result that is to be transmitted to the actuators is selected by a decider from the results of the complex software that is implemented using the simple software.

A monitoring apparatus may include reception logic operable to receive processing characteristic data generated during the processing of the effluent stream; segregation logic operable to segregate the processing characteristic data into contributing processing characteristic data associated with contributing periods which contribute to a condition of the at least one processing tool and non-contributing processing characteristic data associated with non-contributing periods which fail to contribute to the condition; and fault logic operable to utilise the contributing processing characteristic data and to exclude the non-contributing processing characteristic data when determining a status of the condition.

Systems and methods for assessing the health of a first apparatus by monitoring a second apparatus are described herein. A method for monitoring a health of a first apparatus may comprise receiving a performance parameter from a second apparatus, wherein performance of the second apparatus is dependent upon the health of the first apparatus, assessing the performance parameter, and determining the health of the first apparatus. In various embodiments, the performance parameter may comprise at least one of a speed value of the second apparatus, a position value of the second apparatus, a temperature value of the second apparatus, or a time value of the second apparatus.