According to one embodiment, a device management apparatus includes processing circuitry. The processing circuitry acquires information indicating occurrence of a first failure prediction of a first device. The processing circuitry adjusts detection sensitivity of a second failure prediction of a second device relating to the information based on relevance between the first device and the second device. The second device is different from the first device.

Methods and systems for sensor fault management are provided. A plurality of potential faults associated with a sensor are obtained. Accommodation approaches are associated with the plurality of potential faults. Severity levels are associated to the plurality of potential faults to produce a hierarchy of potential faults. A fault management tool is generated based on the hierarchy, the fault management tool defining a framework implementable by a controller associated with the sensor for accommodating faulty behaviour of the sensor by following the accommodation approaches of the hierarchy for the plurality of potential faults

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 operatively coupled to at least one of an oil production component or gas production component; a data storage structured to store a plurality of diagnostic frequency band ranges for the at least one of an oil production component or gas production component; a data acquisition circuit structured to interpret a plurality of detection values from the plurality of input channels; and a data analysis circuit structured to analyze the plurality of detection values to determine measured frequency band data and compare the measured frequency band data to the plurality of diagnostic frequency band ranges, and to diagnose an operational parameter of the least one of an oil production component or gas production component in response to the comparison.

A system and method for providing a corrective solution recommendation for an industrial machine failure, the method including: monitoring a plurality of segments of at least an industrial machine behavioral model to identify a first segment having at least a first set of characteristics associated with a previous machine failure; determining a corrective solution recommendation that solved the previous machine failure; identifying at least a second set of characteristics associated with a second segment; and generating a notification comprising the corrective solution recommendation when the second set of characteristics is determined to be similar to the first set of characteristics above a predetermined threshold.

A fault indicator diagnostic system and fault indicator diagnostic method, with which a fault indicator of a machine can be more accurately diagnosed, has an operation sensor data table which indicates an association between sensor data and an acquisition time of the sensor data. An operation mode data table indicates an association between an operation mode and a time of operation in the operation mode. An operation data table is created by merge processing the operation sensor data table and the operation mode data table comprising the sensor data with regard to the operation mode at a given time. The system compares, in a given operation mode, a threshold determined on the basis of a diagnostic model created by learning from normal sensor data with a value computed on the basis of the diagnostic model from the sensor data to be diagnosed, and determines whether a malfunction is occurring.

A shape data group that is shape data of each of a predetermined number or more of winding bodies correlated with time information is acquired, a first defect ratio before maintenance is calculated on the basis of each shape data group of the predetermined number of winding bodies read before the maintenance, a second defect ratio after the maintenance is calculated on the basis of each shape data group of the predetermined number of winding bodies read after the maintenance, and a facility state diagnosis model is generated by using each shape data group of the predetermined number of winding bodies read before the maintenance in a case where a difference between the first defect ratio and the second defect ratio is greater than or equal to a predetermined value.

In an illustrative embodiment, the present disclosure relates to systems, methods, and an industrial internet of things (IIOT) platform and environment for generating a device integration definition to be used for configuring a new device type for interoperability with the IIOT platform and environment, where the device integration definition includes a standardized format in a programming language syntax, the device integration definition is customizable using code hook templates for issuing commands to the device type, and the device integration definition is customizable using control templates for applying the device integration definition as a foundation for preparing a graphical user interface for configuring devices of the device type with the IIOT platform and environment.

A data collection system in an industrial environment includes a data collector coupled to a plurality of input channels, wherein at least one is connected to a vibration detection facility for detecting a noise pattern from a first industrial machine of a plurality of industrial machines; a data storage structured to store a plurality of noise patterns from the plurality of industrial machines in a library; a data acquisition circuit structured to interpret a plurality of detection values from the collected data; and a data analysis circuit structured to analyze the collected data to determine if the noise pattern from the first industrial machine matches a noise pattern of a second industrial machine stored in the library, wherein if it matches an alarm condition is set to indicate the first industrial machine is experiencing a condition characteristic of the machine performance category of the second industrial machine.

A data collection system in an industrial environment includes a data collector coupled to a plurality of input channels, wherein a collector route determines a subset of the input channels for data collection, the collector route selected based on a data marketplace indicator; a data storage structured to store a plurality of collector routes and collected data that correspond to the input channels, each comprising a different data collection routine for the input channels; a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each corresponding to at least one of the input channels; and a data analysis circuit structured to analyze the collected data from the input channels and evaluate a selected collection routine of the data collector based on the analyzed collected data, wherein the selected collection routine is switched to a second collection routine based on a received data marketplace indicator.

An apparatus, methods, and systems for data collection in a production environment are described. The system may include a data collector communicatively coupled to a plurality of input channels, wherein a first subset of the plurality of input channels are connected to a first set of sensors measuring operational parameters from a production component, a data storage structured to store a plurality of collector routes and collected data, a data acquisition circuit structured to interpret a plurality of detection values from the collected data of the production component, and a data analysis circuit structured to analyze the collected data and evaluate a first collection routine of the data collector based on the analyzed collected data, wherein based on the analyzed collected data the data collector makes a collection routine change.