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.

Methods for data monitoring with changeable routing of input channels are disclosed. An example method includes a data collector communicatively coupled to a plurality of input channels and a data acquisition circuit to interpret the detection values, each corresponding to an input channel. Sensor data is acquired from a first route of input channels and stored together with specifications for the sensors that correspond to the input channels. The sensor data is evaluated with respect to an alarm threshold level and an alarm state set when the alarm threshold level is exceeded. A response circuit changes a routing of the input channels for data collection from a first routing to an alternate routing of input channels, wherein the alternate routing of input channels comprise the first input channel and a group of input channels related to the first input channel.

A method of detecting deviation from an operational state of a device includes obtaining preprocessed data corresponding to data sensed by one or more sensor devices coupled to the device. The method also includes processing the preprocessed data using a trained anomaly detection model to generate an anomaly score. The method also includes processing the anomaly score using an alert generation model to determine whether to generate an alert.

Systems for data collection in an industrial environment are disclosed. A system may include a sensor communication circuit to interpret a plurality of sensor data values, a sensor data storage profile circuit to determine a data storage profile, the data storage profile comprising a data storage plan for the plurality of sensor data values. A system may also include a network coding circuit to provide a network coding value in response to the plurality of sensor data values and the data storage profile, and a sensor data storage implementation circuit to store at least a portion of the plurality of sensor data values in response to the data storage profile and the network coding value.

An apparatus, methods and systems for monitoring network-sensitive data collection related to an industrial production process are disclosed. The system may include a data collector communicatively coupled to a plurality of input channels and to a network infrastructure, a data storage circuit structured to store a plurality of collector routes wherein the data collector receives collected data utilizing a selected collector route, a data analysis circuit structured to determine a data collection quality parameter and a state value of the industrial production process, a pattern recognition circuit structured to determine an identified pattern in response to at least a portion of the collected data and at least one of the state value or the data collection quality parameter, and an analysis response circuit structured to adjust one of the collector routes or the industrial production process in response to the identified pattern.

Systems and methods for data collection in an industrial environment can include a data collector to route analog signals from a plurality of analog sensor inputs to a plurality of output channels of in accordance with a first routing scheme and a controller configured to adjust the routing scheme to a second routing scheme. The first routing scheme may include providing at least two of the plurality of analog sensor inputs at one of the plurality of output channels and the second routing scheme may include providing at least one of the at least two of the plurality of analog sensor inputs to a different one of the plurality of output channels.

A numerical control device according to an aspect of the present disclosure controls, in accordance with a machining program, a machine tool that includes a plurality of machining systems performing machining by each causing a tool to act on a workpiece, and can perform tool oscillation that causes a relative speed of the tool in relation to the workpiece to periodically change in at least one of the machining systems, the numerical control device including: a condition change unit which, upon newly starting machining by one of the machining systems, in a case of another of the machining systems performing machining for which a presence/absence of the tool oscillation differs from the newly starting machining, changes a condition of the newly starting machining or the machining for which the presence/absence of the tool oscillation differs, from a condition derived from the machining program.

System, equipment, and procedure for monitoring, predictive maintenance, and operational optimization of vibrating screeners represented by an inventive solution in the industry and trade of vibrating equipment, with mechanically-driven vibration technology, with particular application to vibrating screening (Pe) equipment (Eq), aiming to monitor operational parameters, foresee the deterioration of the structural conditions of the equipment (Eq), so as to increase the interaction between maintenance and production engineering of the company, where, for such purpose, a system has been conceived whose architecture is composed of the following modules: hardware module (GHW), intelligence generation module (GI), data persistent layer module (CPD), and event management module (Ge), resulting in the conversion of the equipment (Eq)'s operational needs into a description of the performance parameters with functional analysis, synthesis, modeling, simulation, optimization, design, testing, and evaluation, integrating the performance parameters with the other requirements in the modeling process.

A self-organizing data marketplace includes a plurality of data collectors and a corresponding plurality of industrial environments, wherein each of the plurality of data collectors is structured to collect detection values from at least one sensor of the corresponding industrial environment, a data storage structured to store a data pool comprising at least a portion of the detection values, a data marketplace structured to self-organize the data pool, and a transaction system structured to interpret a user data request, and to selectively provide a portion of the self-organized data pool to the user in response to the user data request.

A chatter vibration determination device is provided with a machine learning device configured to observe machining condition data including a feed speed and a spindle rotational frequency in cutting as state data representative of the current state of environment, execute processing related to machine learning using a learning model obtained by modeling the relationship of chatter vibration with a machining condition for the cutting, based on the state data, and estimate the occurrence/non-occurrence of chatter vibration and the improvement of the chatter vibration. The chatter vibration determination device outputs the result of the estimation of the occurrence/non-occurrence of the chatter vibration and the improvement of the chatter vibration.