Turbine Engine Wash Timing Using Contamination Accumulation Modeling

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Solution Overview

Problem

Traditional jet engine maintenance schedules do not consider the actual performance and condition of the engine when determining wash events, leading to inefficient cleaning and potential engine deterioration.

Innovation Solution

A system utilizing contamination accumulation modeling to predict particulate accumulations within a turbine engine, optimizing wash timings and types based on sensor data to maximize hardware life and efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional fixed maintenance schedules are used for engine washes, then maintenance operations can be performed regularly, but cleaning efficiency decreases and engine life is not maximized

Engineering Contradiction:
Improvecleaning efficiencyVSAvoidengine life
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent transitions from static fixed-schedule maintenance to dynamic condition-based maintenance. The system continuously monitors engine parameters (vibration, temperature, pressure, flow rate) and adjusts wash timing based on actual contamination levels and performance degradation, allowing maintenance operations to adapt to real-time engine conditions rather than following a predetermined schedule

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system implements closed-loop feedback by monitoring engine performance parameters, comparing them against baseline values, detecting degradation trends, and triggering wash operations when specific thresholds are exceeded. This feedback mechanism ensures washes are performed based on actual need rather than arbitrary time intervals, optimizing both cleaning efficiency and engine life extension

Inventive Principle:
Principle #23Feedback

2Reliability

If engine washes are performed frequently, then engine cleanliness is maintained, but maintenance costs increase

Engineering Contradiction:
Improveengine cleanlinessVSAvoidmaintenance costs
Core Design Contradiction:
ReliabilityVSLoss of substance

Solution Approach 1:

The system monitors multiple engine parameters (vibration frequency, temperature differential, pressure drop, flow rate changes) to detect contamination accumulation. By tracking changes in these parameters over time and comparing them to baseline values, the system determines the optimal wash timing based on actual contamination levels rather than performing washes at fixed intervals, thereby reducing unnecessary maintenance costs while maintaining engine cleanliness

Inventive Principle:
Principle #35Parameter changes

3Loss of substance

If engine washes are delayed, then maintenance costs are reduced, but engine performance deteriorates

Engineering Contradiction:
Improvemaintenance costsVSAvoidengine performance
Core Design Contradiction:
Loss of substanceVSReliability

Solution Approach 1:

The system continuously monitors engine performance parameters and compares them against baseline values to detect degradation trends. When parameter changes exceed predetermined thresholds indicating significant contamination accumulation, the system triggers a wash operation. This feedback mechanism ensures washes are delayed only as long as performance allows, preventing excessive deterioration while avoiding premature washes that would increase costs

Inventive Principle:
Principle #23Feedback

Data Source

PatentEP3460198B1Engine wash identifier method using contamination accumulation modeling
Publication Date: 2023.10.25 GENERAL ELECTRIC CO
  • EP3460198B1 patent drawingFigure 1
  • EP3460198B1 patent drawingFigure 2
  • EP3460198B1 patent drawingFigure 3

AI summary

A wash optimization system and related methods are provided that increase the efficiency and the effectiveness of engine washes. A system comprising at least one processor receives (402) sensor data representing one or more measured parameters of a turbine engine and determines (404) at least one performance parameter based on the sensor data. The at least one performance parameter represents one or more particulate values associated with the turbine engine. The system generates (406) a health state for the turbine engine based on the at least one performance parameter and generates (408) a wash identifier based on the health state of the turbine engine.