Failure Diagnosis via Virtual Measured Data Simulation
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Solution Overview
Problem
Current failure diagnosis systems for power plants and other critical infrastructure face challenges in accurately configuring databases and algorithms to sense failures and symptoms from measured data, leading to inefficiencies in online failure detection.
Innovation Solution
A failure diagnosis apparatus that includes a simulation module to generate virtual measured data for target devices in failure modes, a data obtaining module to collect actual data, and a failure mode identifying module to compare and identify failures by calculating the sum of squares of differences between virtual and actual data, allowing for early detection of potential failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If virtual measured data is generated through simulation and compared with actual measured data to identify failure modes, then measurement precision and early failure detection capability are improved, but device complexity and computational requirements increase
Solution Approach 1:
The patent creates virtual copies of measured data through simulation models that replicate the behavior of the target device under various failure modes. These virtual data sets are then compared with actual measured data to identify failures, allowing accurate detection without directly modifying the physical device or requiring complex diagnostic hardware.
Solution Approach 2:
The system performs preliminary simulation of failure modes before actual failures occur. By pre-generating virtual measured data for various failure scenarios and storing them in a database, the system can quickly compare actual data against these pre-prepared patterns, enabling rapid failure identification without complex real-time analysis.
2Reliability
If simulation models and virtual data generation are implemented for failure diagnosis, then reliability of failure detection is improved, but loss of time for data processing and computation increases
Solution Approach 1:
The system pre-computes and stores virtual measured data for multiple failure modes in a database before actual failures occur. When a failure is suspected, the system retrieves and compares actual data against these pre-generated patterns, significantly reducing real-time processing requirements while maintaining high diagnostic reliability.
Solution Approach 2:
The patent replaces complex real-time mechanical or computational analysis systems with a data comparison approach. Instead of performing complex real-time simulations, the system substitutes this with efficient pattern matching between actual measured data and pre-computed virtual data, reducing computational burden while maintaining accuracy.
Data Source
AI summary
In one embodiment, a failure diagnosis apparatus includes a simulation module configured to simulate a target device to output virtual measured data obtained when the target device is in at least any one of one or more failure modes. The apparatus further includes a measured data obtaining module configured to obtain measured data that is measured from the target device. The apparatus further includes a failure mode identifying module configured to identify a failure mode of the target device based on the virtual measured data and the measured data.