Some implementations of the disclosure are directed to a method, comprising: receiving tapped data that was tapped from a controller of an industrial control system (ICS) while the controller executed first control code to control ICS devices of the ICS, the tapped data used during execution of the first control code, and the tapped data comprising input data obtained from one or more input components of the controller communicatively coupled to the ICS devices, or output data obtained from one or more output components of the controller communicatively coupled to the ICS devices; and after receiving the tapped data, executing, using at least the tapped data, second control code that provides an emulation of the controller, the emulation comprising running, using at least the tapped data, a process of the first control code at a faster rate than it is run by the controller executing the first control code.

A method includes obtaining an actual value of a condition affected by operating the building equipment, operating the building equipment using a setpoint for the condition, calculating a stability index based on a timeseries of errors between the actual value and the setpoint, comparing the stability index to a criterion, in response to the stability index satisfying the criterion, executing an action relating to the building equipment, and in response to the stability index not satisfying the criterion, not executing the action.

Disclosed herein is a method of repairing a component. The method includes scanning a damaged area of the component, and preparing a repair plan in response to the scanning. The method may also include providing the repair plan to a guided tool having a position correcting controller, and removing damaged material from the component in preparation for a repair operation. An apparatus is also disclosed that includes a computing device configured for performing actions. The computing device includes a processor and a local memory. The actions include detecting damage to the component, recording position information of the detected damage, and incorporating the position information in the repair plan.

A method for automatically notifying an intended person of a service interval of a test and measurement device by using the test and measurement device is described, wherein service data is received by the test and measurement device. The service data is processed internally. A time for maintenance is calculated automatically based on the service data retrieved. Further, a test and measurement device is described.

A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

A particle size tracking system for providing predictive maintenance and battery tuning of hydrocyclones arranged in a battery configuration, featuring a control having a signal processor configured to: receive signaling containing information about particle sizes of material flowing in pipes of hydrocyclones arranged in a battery configuration; and determine corresponding signaling containing information to control the operation of each hydrocyclone arranged in the battery configuration, based upon the signaling received. The signal processor may be configured to provide the corresponding signal as control signaling to control the operation of each hydrocyclone arranged in the battery configuration.

A method and apparatus are provided for sensor fault prediction. A time-sequence of output values is received from a sensor. A plurality of features are extracted from the received values. A model is applied to the features to obtain a health score for the sensor. The trend of the health score over time is calculated to detect degrading performance of the sensor, and a time at which the sensor will become faulty is predicted.

There is provided a monitoring method and system for an aircraft engine. At an engine controller, a current value of an ageing parameter of at least one component of the aircraft engine is obtained, the at least one component having a life limit associated therewith. Based on the current value of the ageing parameter, it is determined, at the engine controller, whether the life limit of the at least one component has been reached. A start of the aircraft engine is inhibited, at the engine controller, when the life limit of the at least one component has been reached.

An industrial shock absorber system may include at least one sensor that is configured to measure an operating parameter of the industrial shock absorber during operation of the shock. The system may be configured to determine Time-Through-Stroke (TTS) and/or Rod Return Time (RRT) utilizing data from the sensor or sensors. The system may be configured to utilize machine learning to detect and/or predict a failure of the industrial shock absorber.

Systems and methods for data collection for an industrial heating process are disclosed. The system according to one embodiment can include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the industrial heating process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the industrial heating process.