Flow Meter Diagnostics via Statistical Signal Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Fluid flow meters in industrial process control systems face reliability issues due to erosion, buildup, and plugging of impulse lines, which affect calibration and pressure sensing, leading to inaccurate flow measurements and operational disruptions.
Innovation Solution
A flow meter system that uses a diagnostic circuit to determine statistical parameters from sensor output signals, specifically correlating standard deviation with flow signals to provide a diagnostic output indicating conditions such as line plugging or wear, allowing for real-time monitoring and maintenance scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional flow meters are used without diagnostic capabilities, then the device complexity is low, but the reliability of flow measurement deteriorates due to undetected line plugging and wear
Solution Approach 1:
The flow meter performs self-diagnosis by automatically analyzing its own sensor output signals for statistical parameters indicating line plugging or wear, eliminating the need for external diagnostic systems or manual inspection while maintaining measurement reliability
Solution Approach 2:
The patent replaces mechanical disassembly and inspection of impulse lines with electronic signal analysis, using statistical processing of sensor output signals to detect diagnostic conditions without physical intervention
2Reliability
If periodic manual inspection of impulse lines is performed, then line plugging can be detected, but loss of time and productivity increase due to system shutdowns and maintenance interruptions
Solution Approach 1:
The diagnostic analysis operates continuously during normal flow meter operation, constantly monitoring sensor signals for statistical parameters that indicate line plugging or wear, eliminating the need for periodic shutdowns and enabling uninterrupted process operation
Solution Approach 2:
The system detects diagnostic conditions such as line plugging and wear in advance before they cause complete measurement failure, allowing for proactive maintenance scheduling that minimizes operational disruption and prevents catastrophic failures
3Reliability
If statistical parameter analysis is added to the flow meter, then diagnostic capability improves for detecting line plugging and wear, but device complexity increases due to additional circuitry and processing requirements
Solution Approach 1:
The flow meter's existing sensor and signal processing circuitry is utilized for dual purposes: both normal flow measurement and diagnostic analysis, by analyzing statistical parameters of the sensor output signal without requiring completely separate diagnostic hardware systems
Solution Approach 2:
The flow meter uses its own sensor output signals for self-diagnosis, analyzing statistical parameters from its existing measurement signals to detect line plugging and wear conditions without requiring external diagnostic equipment or additional sensors
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A flow meter (16) for measuring flow of a process fluid includes a sensor (50) configured to provide a sensor output signal (78). The sensor output signal is related to flow of the process fluid. Circuitry (77) in the flow meter is configured to determine a statistical parameter related to sensor output signal. Diagnostic circuitry (76) provides a diagnostic output (82) based upon the determined statistical parameter and the sensor output signal (78).