Diagnostic Parameter Prediction Error for Electrical Equipment

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Solution Overview

Problem

Conventional diagnostic techniques for electrical equipment, such as high voltage transformers, face challenges in accurately detecting faults due to variations in insulation parameters caused by ambient conditions, leading to delayed or inaccurate detection of component degradation or failure.

Innovation Solution

A method using a processor circuit to determine a prediction error value for diagnostic parameter values, suppressing ambient variations by comparing predicted values with actual values over time, and generating an indication of the component's state based on this comparison, employing machine learning or statistical models to account for and suppress environmental and other noise factors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional diagnostic techniques use insulation parameters (capacitance, power factor) to detect component degradation, then fault detection capability is provided, but measurement precision deteriorates due to ambient condition variations

Engineering Contradiction:

Improvefault detection capabilityVSAvoidinsulation parameter measurement accuracy

Core Design Contradiction:

ReliabilityVSMeasurement precision

Solution Approach 1:

The patent introduces an intermediary processing system that receives raw insulation parameter measurements and ambient condition data, then processes them through algorithms to produce corrected diagnostic values. This intermediary layer filters out ambient noise while preserving fault indicators, resolving the contradiction between maintaining fault detection capability and improving measurement precision under varying environmental conditions.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent transforms the diagnostic approach by changing from direct use of raw insulation parameters to using processed diagnostic indicators that compensate for ambient variations. By applying parameter transformations and corrections based on temperature, humidity, and other environmental factors, the system maintains accurate fault detection while eliminating measurement precision degradation caused by ambient conditions.

Inventive Principle:

Principle #35Parameter changes

2Productivity

If conventional techniques monitor insulation parameters continuously, then real-time monitoring capability is provided, but false alarms increase due to ambient variations

Engineering Contradiction:

Improvereal-time monitoring capabilityVSAvoiddetection accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent implements feedback mechanisms where ambient condition measurements are continuously fed into the diagnostic processing system. The system uses this feedback to dynamically adjust diagnostic thresholds and compensation factors, enabling real-time monitoring while maintaining high detection accuracy by adapting to changing environmental conditions rather than producing false alarms.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent makes the diagnostic system dynamic by allowing monitoring thresholds and processing parameters to adapt in real-time based on ambient conditions. Rather than using fixed thresholds that cause false alarms during environmental variations, the system dynamically adjusts its operation to distinguish between normal ambient-induced parameter changes and actual fault conditions, maintaining both real-time capability and detection accuracy.

Inventive Principle:

Principle #15Dynamics

3Measurement precision

If transformer is taken offline for accurate component condition detection, then measurement precision improves, but productivity decreases due to downtime

Engineering Contradiction:

Improvecomponent condition detection accuracyVSAvoidequipment availability

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent applies preliminary action by implementing continuous online processing and correction of diagnostic parameters before faults develop. The system proactively identifies degradation trends through processed diagnostic indicators, enabling early intervention and maintenance planning without requiring offline inspection, thus maintaining both measurement precision and equipment availability.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent enables the diagnostic system to perform self-service by automatically compensating for ambient variations and identifying faults without external intervention or equipment shutdown. The processing system autonomously corrects measurements and generates diagnostic conclusions, allowing continuous operation while maintaining accurate component condition assessment, thereby eliminating the need to take equipment offline.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20230273269A1Determining states of electrical equipment using variations in diagnostic parameter prediction error

Publication Date: 2023.08.31 HITACHI ENERGY LTD

AI summary

Embodiments are disclosed for determining states of electrical equipment using diagnostic parameter prediction error. A prediction error value is determined for a plurality of predicted diagnostic parameter values over a predetermined time period for at least one component of an electrical equipment. The prediction error value suppresses variations observed in behavior of the at least one component. The determined prediction error value is compared to an expected prediction error value. An indication of a state of the at least one component is selectively generated based on the comparison.