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Solution

Machine Monitoring

Machine-state visibility using vibration intelligence, digital inputs, counters, output diagnostics and supervisory integration.

Published technical information Tachyonic Intelligence Sdn Bhd
AI-assisted industrial machine diagnostics and monitoring solutions
CategorySolution
Customised developmentEnd-to-end engineering for application-specific products, performance optimisation, compliance readiness and scalable future upgrades.
Integrated I/ODigital, analogue and special-purpose I/O with Ethernet, fieldbus, GSM, GPS and high-speed interface options.
Industry focusWater treatment, transportation, palm oil refining, fuel depots, substations, manufacturing, facilities monitoring and vehicle systems.

Combine mechanical condition with machine state

Machine monitoring becomes more informative when vibration is correlated with running state, speed, production count, interlocks and process events. PyXis provides machine-health information while Titania can acquire switches, pulses and counters and expose protected output status.

The integration should preserve operating context so maintenance personnel can distinguish a real condition change from a different speed, load or production mode.

Rotating-machine fault recognition

Connect vibration signatures to the motor components that need attention

This exploded motor view shows where common mechanical, bearing and rotor-related conditions develop and how vibration monitoring supports a structured maintenance investigation.

Exploded electric motor showing bearing, rotor, shaft, fan, alignment and mounting faults that PyXis vibration monitoring can help identify Enlarge diagram
Exploded motor view linking diagnostic signatures to practical inspection locations.
01
Faults mapped to motor components

The guide highlights outer-race and inner-race bearing faults, rolling-element defects, misalignment, rotor eccentricity, rotor-bar or electrical abnormalities, shaft imbalance, bent shaft, cooling-fan faults and mechanical or mounting looseness.

02
How PyXis supports diagnosis

PyXis combines triaxial vibration, waveform and FFT information, bearing-frequency patterns, harmonics and condition trends to support earlier recognition and maintenance prioritisation. Findings should be checked against machine speed, load, bearing geometry, mounting quality and operating history.

BearingsRotorShaftAlignmentFanMounting

Diagnostic guide: detectability and confidence vary with sensor location, installation quality, machine construction, operating state, baseline quality, analysis settings and firmware profile.

Technology insights

Professional engineering articles

Practical guidance derived from the current PyXis and Titania technical material.

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