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Model mmViewer - Cloud-Based Machine Monitoring
Mechmine provides the Cloud-based machine monitoring service mmViewer for bearings and gears. Testimonial from Dieter Franke, author of the books "Detection, diagnosis and effects of misalignments in shaft trains" and "Rolling bearing diagnosis on machine sets", both published (in German) by Springer: "Dear team of Mechmine llc! Thank you very much for letting me use your diagnosis and monitoring software with data connection to the Internet. One can carry out condition evaluations of machine sets and their rolling bearings with trend curves of various special characteristics according to state of the art technology, and in addition, with statistical evaluations of related characteristic values. Even my decades-old practice of condition diagnosis by means of specific signal plots, such as for rolling bearings based on VDI 3832, can be implemented very well since it takes into account the stored kinematics. Suitably advanced statistical characteristic functions are also available. The generation of plots for report generation is linked to useful maintenance information and machine data. My compliments for these practical tools for machine diagnosticians. Best regards, Dieter Franke"
- Simple "traffic-light-based" overview across all machines
- Dashboards to ease monitoring the health of all bearings and gears in rotating machines
- Various automated, high-quality but still simple trend chart options to track the state of bearings and gears
- Four options to set alarms via thresholds, with 2-levels: warning and alarm
- Maintenance logbook: for recording any maintenance work and to display these maintenance events in trend charts
- All tools necessary and made easy to apply to analyse data by yourself, e.g. if desired to re-confirm the state of bearings and gears
- Reports with downloading options of analysis results, i.e. graphs
- Possibility to simply outsource the monitoring to third parties through mmViewer
- Runs in the Browser, no dedicated Software or PC needed!
- Dashboard based on velocity measurements
- Dashboard from ML/AI-based outlier detection
- Trends: FTF, BSF, BPFI, BPFO, BPFI, GMF, GMF-SB, RPM, outlier detector, statistical parameters
- Automated balance, alignment and looseness analysis
- Automated analysis based on kurtogramm with spectrum selection and zoom
- Segmented-spectrogram, data cut in time and frequency sequences and each piece gets analysed
- Order-analysis and order-tracking!
- Rawdata analysis
- Amplitude-spectrum analysis
- Envelope spectrum analysis
- Velocity analysis (ISO 10816-3)
- Cepstrum analysis
- Spectrogram
- Relevant statistical parameters
- and many more, see bottom of this page.