A Reduced Order Model for Monitoring Aeroengines Condition in Real Time

Round 1

Reviewer 1 Report

This paper tries to develop a reduced order model to monitor aeroengines condition in real-time. The reduced model is constructed by applying higher order SVD with interpolation data that obtained from a detailed engine physics model. The tests are carried out to reveal robustness in connection with random noise added to the sensors data. The paper is well organized and the conclusions seems to proper. I would like to recommend to accept it after some revisions.

Comments:

1.     “the method synergically combines the advantages of data-driven and model-based”, while the features of two methods are not well given, More comparisons about the involved methods should be supplemented.

2.     In table 2, the sensor measurements are not all collected in practice, and these data are mainly acquired from the commercial software. How to apply the involved method using less measurements should be addressed.

3.     The descriptions of various models are some ambiguous, more explanations about the models should be added.

4.     Besides in the design condition in cruise, the performance tests of the methods are also important in other flight conditions.

English language is acceptable.

Author Response

See the uploaded pdf file

Author Response File: Author Response.pdf

Reviewer 2 Report

1) Please add notation to the paper

2) Add a description of the engine (e.g., a table with technical parameters)

3) Where did the data for Chapter 4 come from. Is it simulation or experimental data. In either case, please complete the description of the sources of the data and the experiment.

Author Response

See the uploaded pdf file

Author Response File: Author Response.pdf