condition based monitoring of turbomachinery components

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“TURBO-REFLEX. TURBOmachinery REtrofit enabling FLEXible back-up capacity for the transition of the European energy system” Condition based monitoring of turbomachinery components Alexander Wiedermann, MAN Energy Solutions ETN Webinar Series FLEXIBLE POWER GENERATION March 2 nd , 2021, 12am-1pm CET

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Page 1: Condition based monitoring of turbomachinery components

“TURBO-REFLEX. TURBOmachinery REtrofit enabling FLEXible back-up capacity for the transition

of the European energy system”

Condition based monitoring of turbomachinery components

Alexander Wiedermann, MAN Energy Solutions

ETN Webinar Series

FLEXIBLE POWER GENERATION

March 2nd, 2021, 12am-1pm CET

Page 2: Condition based monitoring of turbomachinery components

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Tasks

ETN Webinar Series FLEXIBLE POWER GENERATION March 2nd, 2021, 12am-1pm CET

4.1 Condition and efficiency monitoring system

− Monitoring system based on analytics and test data

− Detection of critical operating conditions

− Prediction of maintenance intervals

4.2 Steam turbine monitoring system

− Monitoring system for blade vibrations

− Monitoring and analysis tool for LCF

− Online rub monitoring system

4.3 Power generation analytics

− Probes for plant components

− Plant monitoring system

4.4 Machine learning on large heterogeneous

data

− Big data analytics methods

− Employ machine learning algorithms

Task 4.3

Task 4.2 Task 4.1; Task 4.4

Page 3: Condition based monitoring of turbomachinery components

Condition based monitoring: Vision

ETN Webinar Series FLEXIBLE POWER GENERATION March 2nd, 2021, 12am-1pm CET3

Page 4: Condition based monitoring of turbomachinery components

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CBM and ML: Approach

ETN Webinar Series FLEXIBLE POWER GENERATION March 2nd, 2021, 12am-1pm CET

“Machine learning on large heterogeneous data sources”

to develop and use plant physics models to optimize flexibility improvement strategies

to prepare, implement and validate problem specific machine learning algorithms and feature

tailored methods

Synopsis

PCA: Principal Component Analysis

STFT: Short Time Fourier Transform

CWT: Continuous Wavelet Transform

SVM: Support Vector Machine

Page 5: Condition based monitoring of turbomachinery components

Example: GT Start-up failures

ETN Webinar Series FLEXIBLE POWER GENERATION March 2nd, 2021, 12am-1pm CET5

Predictive capability of a trained CNN- Model (Convolutional Neural Network):

Probability figures show the ratio of true vs. false predictions for each difference

image

Page 6: Condition based monitoring of turbomachinery components

An OEM Consortium of

25 partners in 9 countries

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Contact person:

Alexander Wiedermann

Phone:

00 49 208 692 2238

Fax:

00 49 208 692 2958

Email:

[email protected]

ETN Webinar Series FLEXIBLE POWER GENERATION March 2nd, 2021, 12am-1pm CET