摘要:
An optimization method is used in a real-time diagnostic system that monitors alarm sources (30) and detects possible sources of failure in an industrial process. When the diagnostic system detects one or more alarms, it determines which components are likely sources of failure. The system determines the level of criticality of certain other, currently off-line, alarms sources (20,50) and schedules the off-line alarms for evaluation according to their levels of criticality. The system refines its analysis of likely sources of failure by evaluating the status of the previously off-line alarm sources. The evaluation process is repeated, with the analysis of likely causes of failure being continually refined.
摘要:
The present invention is a system and method for monitoring conditions of a vehicle and generating a maintenance plan according to the monitored conditions. The system includes one or more sensors 22 and a data acquisition unit 26 located within the vehicle 21. The one or more sensors 22 generate signals of a condition from various locations within the vehicle 21. The data acquisition unit 26 stores the generated sensor signals at a first sampling rate. The system also includes a structural condition management system 30 that receives the stored sensor signals from the data acquisition unit. The structural condition management system 30 is external to the vehicle 21. The structural condition management system 30 processes the transmitted sensor signals based on one or more associated predefined condition assessment algorithms and generates a maintenance plan based on the processed sensor signals.
摘要:
The present invention is a system and method for monitoring conditions of a vehicle and generating a maintenance plan according to the monitored conditions. The system includes one or more sensors 22 and a data acquisition unit 26 located within the vehicle 21. The one or more sensors 22 generate signals of a condition from various locations within the vehicle 21. The data acquisition unit 26 stores the generated sensor signals at a first sampling rate. The system also includes a structural condition management system 30 that receives the stored sensor signals from the data acquisition unit. The structural condition management system 30 is external to the vehicle 21. The structural condition management system 30 processes the transmitted sensor signals based on one or more associated predefined condition assessment algorithms and generates a maintenance plan based on the processed sensor signals.
摘要:
A system for performing predictive analysis and diagnostics is disclosed. The system includes a plurality of sensors communicatively coupled to a vehicle electronics unit. The plurality of sensors are configured to generate at least one first signal indicative of a first sensed condition and at least one second signal indicative of a second sensed condition. A remote central processing system is coupled to the vehicle electronics unit. The remote central processing system comprises a remote processor and a remote data storage device, wherein the remote central processing system is configured to receive each of the at least one first and second signals. A predictive diagnostic unit is arranged in the remote data storage device and comprises machine readable instructions that, when executed by the remote processor, causes the system to partition the second signal into a predetermined number of successive time intervals; generate a similarity value based on a comparative analysis between the partitioned second signal and a stored first signal; and determine an estimated degree of failure of a machine component based in part on a computed average of the similarity value.
摘要:
An optimization method is used in a real-time diagnostic system that monitors alarm sources (30) and detects possible sources of failure in an industrial process. When the diagnostic system detects one or more alarms, it determines which components are likely sources of failure. The system determines the level of criticality of certain other, currently off-line, alarms sources (20,50) and schedules the off-line alarms for evaluation according to their levels of criticality. The system refines its analysis of likely sources of failure by evaluating the status of the previously off-line alarm sources. The evaluation process is repeated, with the analysis of likely causes of failure being continually refined.