Data Management Techniques for Blade Vibration Analysis

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Well-designed procedures are required to handle large amounts of data, generated by complex measurement systems used in engine tests. The paper presents selected methodologies and software tools for characterisation and monitoring of blade vibration. Common file formats and data structures as well as methods to process and visualise tip-timing data are discussed. Report Generation Framework (RGF) developed in Python is demonstrated as a flexible tool for processing and publishing blade vibration results.

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Journal information
Impact Factor

CiteScore 2018: 0.33

SCImago Journal Rank (SJR) 2018: 0.21
Source Normalized Impact per Paper (SNIP) 2018: 0.434

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