Gas Analyzer Signal Normalization for Transformer Fault Interference

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Solution Overview

Problem

Conventional gas analyzers face challenges in minimizing the influence of fault signals on measurement values, particularly due to transformer-related interference, which affects the accuracy and reliability of non-electrical variable measurements.

Innovation Solution

A measuring device that converts non-electrical variables into electrical signals using an alternating current, employing signal processing software to detect and separate useful and fault signal portions by phase-sensitive multiplication and low-pass filtering, normalizing the measured value using the fault signal quotient, thus eliminating the need for additional instrumentation and compensating for signal path changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If conventional filtering measures are used to dampen fault signal portions, then the harmful effect of fault signals is reduced, but the measurement precision deteriorates because useful signal information is also lost

Engineering Contradiction:
Improvefault signal influenceVSAvoidmeasurement result accuracy
Core Design Contradiction:
Object-affected harmful factorsVSMeasurement precision

Solution Approach 1:

The patent segments the measurement signal into distinct frequency components: the useful signal portion at double frequency (2f) and the fault signal portion at single frequency (f). By separating these components through frequency-based signal processing, the system can selectively dampen the fault signal while preserving the useful signal, thus resolving the contradiction between reducing harmful factors and maintaining measurement precision

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary diagnostic value derived from the fault signal portion at frequency f. This diagnostic value serves as a mediator that provides information about signal processing path correctness without directly interfering with the useful measurement signal at frequency 2f, allowing fault detection while preserving measurement accuracy

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If additional instrumentation is added to measure and compensate for fault signals, then the reliability of measurements improves, but the device complexity increases

Engineering Contradiction:
Improvemeasurement reliabilityVSAvoidinstrumentation complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent makes the existing signal processing device universal by enabling it to perform multiple functions: processing both the useful signal at frequency 2f and the fault signal at frequency f. The same hardware infrastructure is used to extract diagnostic information and normalize measurements, eliminating the need for separate instrumentation and reducing device complexity while maintaining reliability

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system uses its own internal fault signal portion at frequency f as a self-diagnostic tool. By processing this internally generated signal through the existing signal processing path, the system performs self-monitoring and self-normalization without requiring external instrumentation, thus improving reliability while avoiding increased complexity

Inventive Principle:
Principle #25Self-service

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach ensures accurate normalization of the measured value without additional instrumentation expense, effectively compensating for faults and signal path changes, enhancing the reliability and precision of gas analysis measurements.

Implementation Method 1

the signal processing software is intended to detect the digital signal in a phase-sensitive manner, by multiplication with a reference signal at the double frequency, and process the digital signal by subsequent low-pass filtering to generate the measured value

Methodology Applied
Scientific EffectPhase-sensitive detection:

Implementation Method 2

process the digital signal by subsequent low-pass filtering to generate the measured value, which is proportional to the non-electrical variable

Methodology Applied
Scientific EffectLow-pass filtering: Filter (electronic)

Implementation Method 3

the signal processing device includes a normalizing stage for normalizing the measured value by forming the quotient using the square of the fault signal value

Methodology Applied
Scientific EffectSignal normalization:

Implementation Method 4

a gas analyzer that operates by the paramagnetic alternating pressure method, utilizing the paramagnetic properties of oxygen to generate the measured effect

Methodology Applied
Scientific EffectParamagnetic alternating pressure method:

Implementation Method 5

an electromagnet is controlled at an alternating current of a particular frequency f. The measured effect is proportional to the square of the magnetic field

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Data Source

PatentUS10491160B2Measuring device
Publication Date: 2019.11.26 SIEMENS AG
  • US10491160B2 patent drawing
  • US10491160B2 patent drawing

AI summary

A measuring device in which a non-electrical variable is converted into an electrical measurement signal via an electrical alternating current having a frequency, wherein the measurement signal contains a signal portion dependent on the non-electrical variable and is double the frequency, and a fault signal portion dependent on the alternating current and is at the frequency, where the measurement signal is pre-processed and digitized to generate a digital signal that is detected and processed to generate a measured value proportional to the non-electrical variable and to generate a fault signal value, wherein the fault signal value is utilized to normalize the measured value that is normalized in a normalizing stage, by forming the quotient using the square of the fault signal value, and is output as a normalized measured value.