Method for data collection and frequency analysis with self-organization functionality

Abstract

A system and method for data collection and frequency analysis with self-organization functionality includes analyzing with a processor a plurality of sensor inputs, sampling with the processor data received from at least one of the plurality of sensor inputs at a first frequency, and self-organizing with the processor a selection operation of the plurality of sensor inputs.

1 .- 23 . (canceled) 
     
     
         24 . A system comprising:
 an expert graphical user interface comprising representations of a plurality of components of an industrial machine from an industrial environment in which a plurality of sensors is deployed and from which a data collection system collects data for the system, wherein the expert graphical user interface is configured to provide interaction with a user, and wherein at least one representation of the plurality of components is selectable by the user of the expert graphical user interface;   a database of industrial machine failure modes; and   a database searching facility is configured to search the database of industrial machine failure modes for at least one failure mode that corresponds to the user selection of the component of the plurality of components;   wherein the expert graphical user interface provides the at least one corresponding failure mode to the user of the expert graphical user interface.   
     
     
         25 . The system of  claim 24 , further comprising a database of a plurality of conditions associated with the industrial machine failure modes. 
     
     
         26 . The system of  claim 25 , wherein the database of the plurality of conditions comprises a list of sensors in the industrial environment associated with the plurality of conditions. 
     
     
         27 . The system of  claim 26 , wherein the database searching facility is configured to search the database of the plurality of conditions for one or more sensors of the list of sensors that correspond to at least one condition, and wherein the database searching facility is configured to indicate the corresponding one or more sensors in the expert graphical user interface. 
     
     
         28 . The system of  claim 24 , wherein the user selection of the component of the plurality of components causes a controller to reference and implement a data collection template for configuring a data routing and collection system, thereby configuring the data routing and collection system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes. 
     
     
         29 . A method comprising:
 presenting in an expert graphical user interface a list of reliability measures of an industrial machine;   facilitating a selection by a user of a reliability measure from the list of reliability measures via the expert graphical user interface;   presenting a representation of a smart band data collection template associated with the reliability measure selected by the user via the expert graphical user interface; and   in response to a user indication of acceptance of the smart band data collection template, configuring a data routing and collection system to collect data from a plurality of sensors in an industrial environment in response to a data value from one of the plurality of sensors being detected outside of an acceptable range of data values.   
     
     
         30 . The method of  claim 29 , wherein the list of reliability measures comprises at least one of: industry average data, manufacturer's specifications, manufacturer's material specifications, or manufacturer's recommendations. 
     
     
         31 . The method of  claim 30 , wherein the manufacturer's specifications comprise at least one of: a cycle count, a working time, a maintenance recommendation, a maintenance schedule, an operational limit, a material limit, or a warranty term. 
     
     
         32 . The method of  claim 29 , wherein the list of reliability measures correlates to at least one failure including at least one of: stress, vibration, heat, wear, ultrasonic signature, or operational deflection shape effect. 
     
     
         33 . The method of  claim 30 , further comprising correlating the plurality of sensors in the industrial environment to the manufacturer's specifications. 
     
     
         34 . The method of  claim 33 , wherein the correlating of the plurality of sensors in the industrial environment comprises matching a duty cycle specification to at least one sensor that detects revolutions of a moving part. 
     
     
         35 . The method of  claim 33 , wherein the correlating of the plurality of sensors in the industrial environment comprises matching a temperature specification with a thermal sensor disposed to sense an ambient temperature proximal to the industrial machine. 
     
     
         36 . The method of  claim 33 , further comprising dynamically setting the acceptable range of data values based on a result of the correlating of the plurality of sensors in the industrial environment. 
     
     
         37 . The method of  claim 33 , further comprising automatically determining at least one of the plurality of sensors for detecting the data value outside of the acceptable range based on a result of correlating. 
     
     
         38 . A method comprising:
 representing a plurality of components of an industrial machine from an industrial environment;   selecting at least one representation of the plurality of components by a user via an expert graphical user interface;   searching a database of industrial machine failure modes for at least one failure mode that corresponds to the user selection of the component of the plurality of components; and   displaying the at least one corresponding failure mode to the user via the expert graphical user interface.   
     
     
         39 . The method of  claim 38 , further comprising:
 searching a database of a plurality of conditions for one or more sensors of a list of sensors that correspond to at least one condition; and   indicating the corresponding one or more sensors in the expert graphical user interface.   
     
     
         40 . The method of  claim 38 , further comprising:
 referencing and implementing a data collection template for configuring a data routing and collection system; and   configuring the data routing and collection system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes.   
     
     
         41 . The method of  claim 38 , further comprising:
 presenting in the expert graphical user interface a list of reliability measures of an industrial machine;   facilitating a selection by a user of a reliability measure from the list of reliability measures via the expert graphical user interface;   presenting a representation of a smart band data collection template associated with the reliability measure selected by the user via the expert graphical user interface; and   in response to a user indication of acceptance of the smart band data collection template, configuring a data routing and collection system to collect data from a plurality of sensors in an industrial environment in response to a data value from one of the plurality of sensors being detected outside of an acceptable range of data values.   
     
     
         42 . The method of  claim 41 , wherein the list of reliability measures comprises at least one of: industry average data, a manufacturer's specifications, a manufacturer's material specifications, or a manufacturer's recommendations; and
 wherein the list of reliability measures correlates to at least one failure including at least one of: stress, vibration, heat, wear, ultrasonic signature, or operational deflection shape effect.   
     
     
         43 . The method of  claim 41 , further comprising correlating the plurality of sensors in the industrial environment to manufacturer's specifications. 
     
     
         44 . The method of  claim 43 , wherein the correlating of the plurality of sensors in the industrial environment comprises at least one of: matching a duty cycle specification to at least one sensor that detects revolutions of a moving part, or matching a temperature specification with a thermal sensor disposed to sense an ambient temperature proximal to the industrial machine. 
     
     
         45 . The method of  claim 43 , further comprising dynamically setting the acceptable range of data values based on a result of the correlating of the plurality of sensors in the industrial environment. 
     
     
         46 . The method of  claim 43 , further comprising automatically determining at least one of the plurality of sensors for detecting the data value outside of the acceptable range based on a result of correlating.