Advance Analysis Techniques for Condition Monitoring

Machinery condition report is based on detailed narrowband analysis of recorded time waveforms and processed spectrums of velocity, acceleration and demodulated acceleration, and supervised Machine Learning algorithm.

• High Frequency up to 10,000 Hz Time waveform analysis
• Low Frequency up to 1000 Hz Spectrum analysis
• High Frequency up to 10,000 Hz Spectrum analysis
• Demodulation analysis
• Crest factor
• Spectral Kurtosis
• Pulsation index for reciprocating compressors
• Autocorrelation curve analysis

Limiting values and fault indicators are continuously monitored by the machine learning algorithm running at the HAT Analytics server and the HAT unit algorithm is updated automatically.


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Client

Catanisthemes

Date

March 30, 2016