| I&T Solution |
Remote Condition Monitoring & Smart Detection For Railway Point Machines
(REF: S-1485) |
| Trial Project |
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| Solution Feature |
- Remote and wired Condition monitoring on the driving motor & gear set
- Smart multi-channel triggering and high-sampling rate recoding ability to capture right data with Generative A.I. for post-data analysis & signal processing
- Innovative tiny Machine Learning technology for edge data processing
- Over 30,000 nos. of rolling element bearing fault frequency & symptom data pool
- Domain expert in Acoustics, Vibration & Machine Diagnostics, ISO Cat. III Certified Vibration Analyst & member of The Hong Long Institute of Acoustics (HKIOA)
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| Trial Application and Expected Outcome |
- Collect data and provide insights on comparing the performance point machines under monitoring in terms of noise, vibration, motor current signature, temperature & relative humidity etc.
- Develop Machine Learning model to automate alarm triggering and determination of alarm threshold to save cost on routine visual & audible checking / inspection.
- Machine diagnostics on rotor balancing, misalignment, bearing fault, gear fault, motor coil & mechanical looseness.
- Integrate Generative A.I. & Tiny Machine Larning to traditional Non-Destructive Testing & Condition Monitoring techniques.
- Predict the next failure time of point machine and notify the operation team in advance to avoid sudden breakdown.
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| Additional Solution Information |
I&T Soluion 2057 Attachment.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Xtra Sensing Limited | | Address | : | Unit 1017, 10/F, Building 19W, No. 19 Science Park West Avenue, Hong Kong Science Park, N.T., Hong Kong | | Contact Person | : | Andrew YEUNG |
| Position | : | CTO & Co-founder | | Tel | : | 2550 2330 | | Email | : |
andrew@xtrasensing.com | | Webpage | : | www.Xtrasensing.com |
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