A method, system, and computer program product for predictive maintenance. A method may include receiving operation data associated with one or more injection systems, wherein the operation data includes one or more operation parameters associated with one or more operations of the one or more injection systems: determining one or more prediction scores for the one or more injection systems based on the operation data, wherein the one or more prediction scores include one or more predictions of one or more operation failures or misuses for the one or more injection systems; and providing maintenance data associated with the one or more operation failures or misuses, wherein the maintenance data is based on the one or more prediction scores.

A storage device of a noise inspection apparatus is configured to store a neural network machine-learned to receive, as inputs, an original sound characteristic value indicating a characteristic of sound generated by a transmission and an evaluation sound characteristic value indicating a characteristic of sound that reaches a vehicle cabin, and output a route part characteristic value that is a value indicating a characteristic of a vibration transfer of a vehicle part positioned on a vibration transfer route from the transmission to the vehicle cabin. An execution device of the noise inspection apparatus is configured to calculate, as an estimated value of the route part characteristic value, an output of the neural network that has received, as inputs, measured values of the original sound characteristic value and the evaluation sound characteristic value.

Embodiments herein determine performance parameters for a balance of plant estimator of a power plant controller configured to control a renewable power plant comprising a plurality of power generating units, wherein the balance of plant estimator is configured to provide an internal power loss estimation of the renewable power plant. The embodiments include providing at least one first pair of associated first and second power values in a first power range, providing at least one second pair of associated first and second power values in a second power range, determining a representative of the first pair, and determining a representative of the second pair in accordance with predetermined rules, and calculating a first set of performance parameters using the representatives of the first and second pairs of associated first and second power values.

Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points related to machine components, wherein at least one of the plurality of input channels is connected to a data collection point on a rotating machine component; a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels; and an expert system analysis circuit structured to analyze the collected data, wherein the expert system analysis circuit determines a failure state for the rotating machine component based on analysis of the plurality of detection values, wherein upon determining the failure state the expert system analysis circuit provides the failure state to a data storage.

A device management system includes a device information transmitting apparatus that collects information about a device, and a management apparatus that communicates with the device information transmitting apparatus via a communication network. At least one of the management apparatus and the device information transmitting apparatus includes an anomaly state input unit that receives an anomaly state of the device, and a designating unit that designates, in accordance with the received anomaly state, first information to be used to identify a cause of the anomaly state of the device. The device information transmitting apparatus includes a first information transmitting unit that transmits the first information to the management apparatus.

Methods and systems for monitoring a brush holder assembly and/or detecting wear of a brush in a brush holder assembly are disclosed. One method includes sending data from a plurality of remote monitoring locations to a central control unit, where the data may be evaluated in order to monitor states of brushes at a plurality of remote electrical facilities. For example, multiple images of a marker tracking longitudinal movement of the brush may be acquired. A comparison of the images, for example, a comparative imaging technique, such as pixel-by-pixel comparison, may then be performed in order to evaluate a condition of the brush, such as the wear rate, wear state, or life expectancy of the brush.

Methods and systems for monitoring a plurality of components of a pump in an industrial environment include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors operationally coupled to the pump and communicatively coupled to the data acquisition circuit; a data processing circuit structured to utilize at least one of the plurality of detection values to perform at least one noise processing operation on at least a portion of the plurality of detection values; a signal evaluation circuit structured to determine a pump performance parameter in response to the noise processed plurality portion of the plurality of detection values; and a response circuit structured to perform at least one operation in response to the pump performance parameter.

A method, system, and computer program product for predictive maintenance. A method may include receiving operation data associated with one or more injection systems, wherein the operation data includes one or more operation parameters associated with one or more operations of the one or more injection systems; determining one or more prediction scores for the one or more injection systems based on the operation data, wherein the one or more prediction scores include one or more predictions of one or more operation failures or misuses for the one or more injection systems; and providing maintenance data associated with the one or more operation failures or misuses, wherein the maintenance data is based on the one or more prediction scores.

A control system, for example for an optical system, includes: an actuating element; a measuring element for acquiring actuating element measurement data of the actuating element; a regulating unit for generating a regulating signal for regulating the actuating element depending on the acquired actuating element meas-urement data; and a state monitoring unit for monitoring a state of the control system depending on the acquired actuating element measurement data. The state monitoring unit includes: a first processing unit for generating preprocessed state data depending on (i) the acquired actuating element measurement data and a physical model and/or a mathematical model of the actuating element, or (ii) the acquired actuating element measurement data, a physical model and/or a mathematical model of the actuating element and the generated regulating signal; and a second processing unit for determining the state of the control system depending on the preprocessed state data.

A sensor service prediction system and method are provided for a sensor. The system monitors sensor operations of the sensor, and provides a calendar age odometer which increments a calendar age of the sensor by a first time interval as the sensor operates. The system further provides an accelerated age odometer which increments an accelerated age of the sensor by a second time interval according to the increment of the calendar age and a sensor temperature or other measurable environmental condition associated therewith. The system obtains a value of a sensor property at different calendar ages or accelerated ages of the sensor over time, and predicts and outputs when the sensor property of the sensor is anticipated to reach a sensor property threshold based on the values of the sensor property in relations to the accelerated age.