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Real-time motor health monitoring

PyXis

Where Machines Gain Intelligence

Stop unexpected motor breakdowns before they disrupt production.

PyXis processes triaxial vibration and temperature at the machine, delivering motion metrics, harmonic information, severity states, alarms and firmware-dependent prognostic values directly to connected control and maintenance systems.

3-axis sensing Edge analytics SCADA ready
PyXis stainless-steel triaxial vibration sensor and extension cable
Machine health92/100Example dashboard view
Prevent unplanned downtimeDetect abnormal patterns earlier and reduce costly surprises.
Protect production continuityKeep critical rotating assets visible and maintenance priorities clear.
Turn vibration into actionUse trends, spectra and alarms to support faster maintenance decisions.

Professional machine-health insight

Designed for the rotating assets that keep industry moving

Small vibration changes can appear early in the failure curve. PyXis helps teams observe those changes while intervention remains practical.

Ideal for

MotorsGearboxesPumpsCompressorsBlowersOther rotating machinery

Early warning for critical rotating assets.
Protect uptime, output and maintenance visibility.

3-axis MEMS vibration sensing

Captures vibration in X, Y and Z for a more complete view of machine condition.

Harmonic and spectral analysis

Provides up to 20 harmonic frequencies and acceleration amplitudes per axis without transmitting the raw waveform.

Advanced condition analytics

Provides severity, fault status, order information, diagnostic indices and firmware-dependent prognostic outputs.

Multiple fault modes

Supports detection of misalignment, unbalance, looseness, gear wear and bearing-related patterns.

Direct Modbus integration

Exposes device identity, vibration, temperature, alarms and machine-health values over 2-wire RS-485 Modbus RTU.

Industrial deployment

Sealed IP67 / IP68 construction, wide DC supply range, low power consumption and M12 or integral-cable options.

Motor degradation and the P-F curve

See developing faults while maintenance can still be planned

The P-F curve links the progression of motor deterioration with the vibration indicators that become visible at each stage.

Motor performance degradation and P-F curve showing time-domain waveforms, FFT spectra, fault development stages and the PyXis predictive-maintenance detection window Enlarge diagram
Progression from a healthy baseline to functional failure, with waveform and FFT changes at each stage.
01
How to read the curve

A motor can progress from a healthy baseline through early high-frequency stress-wave activity, bearing or lubrication degradation, mechanical fault growth and finally functional failure. Waveforms and FFT spectra become progressively more abnormal as impacts, bearing frequencies, harmonics and broadband vibration increase.

02
What PyXis adds

PyXis combines high-frequency stress-wave detection, triaxial vibration and FFT analysis to reveal early bearing signatures and developing faults. Earlier recognition gives maintenance teams more time to verify the condition, plan intervention and avoid run-to-failure maintenance.

BPFO / BPFIImbalanceMisalignmentLoosenessBent shaft

Engineering illustration: the actual P-F interval and fault signature depend on speed, load, bearing geometry, sensor mounting, operating state, baseline quality, analysis settings and firmware profile.

Motor fault coverage

Motor faults and health conditions PyXis can help identify

The exploded motor view maps common fault sources to the physical components where they develop, helping maintenance teams relate PyXis condition data to practical inspection points.

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.

Product capabilities

Condition intelligence at the edge

PyXis turns high-bandwidth vibration and temperature measurements into compact condition, diagnostic and prognostic information that industrial systems can use directly.

Tri-axis motion metricsIndependent acceleration RMS, peak, peak-to-peak and crest factor; velocity RMS and peak-to-peak; and displacement peak-to-peak on X, Y and Z.
Spectral and harmonic dataUp to twenty harmonic frequencies and corresponding acceleration amplitudes for every axis without transmitting the raw time waveform.
Severity and fault outputsPer-axis severity state and fault-analysis status for direct use by supervisory systems and maintenance workflows.
Speed and order trackingCurrent RPM, tachometer quality, speed state and 1X order information for speed-normalised analysis.
Advanced condition indicatorsEnvelope kurtosis, sideband density, harmonic consistency, cepstrum gear index, spectral kurtosis and cyclostationary index.
Predictive-maintenance outputsFirmware-dependent RUL days, failure probability, degradation index, time-to-maintenance, aging factor and baseline status.
Thermal correlationSensor and motor temperature values with configurable warning and alarm thresholds.
Asset-aware configurationMachine profile, motor frequency, gear ratio, gear-tooth count, bearing geometry and configurable analysis filters.

Fault interpretation depends on installation, machine configuration, operating state and firmware profile. Final alarm limits should be commissioned for the actual asset.

Complete PyXis motor health monitoring kit with controller, multiple sensors and power supplyComplete multi-sensor monitoring system

System overview

Commission from installation to operational integration

  1. InstallMount the sensor rigidly on the machine and align its axes with the asset.
  2. ConfigureSet the Modbus address, serial format and applicable machine parameters.
  3. BaselineCapture representative healthy operation before applying final warning and alarm limits.
  4. IntegrateMap condition, alarm and prognostic values into PLC, SCADA, CMMS or analytics systems.
20 × 3harmonics with amplitude IP67 / IP68sealed construction 4.75-28 VDCwide input supply

Technical overview

Key system specifications

Confirm final specifications and model applicability against the latest controlled product documentation before design or procurement.

Sensing element3-axis digital MEMS accelerometer with orthogonal X, Y and Z measurement axes
Frequency bandwidthDC to 6 kHz, specified at the -3 dB point
Measured quantitiesAcceleration RMS, peak and peak-to-peak; velocity RMS and peak-to-peak; displacement peak-to-peak; crest factor
Spectral informationUp to 20 harmonic frequencies and corresponding acceleration amplitudes for every axis
Condition informationPer-axis severity and fault states, RPM, tachometer quality, speed state, 1X order and advanced diagnostic indices
Prognostic informationFirmware-dependent RUL days, failure probability, degradation index, time-to-maintenance, baseline status and aging factor
Communications2-wire half-duplex RS-485; Modbus RTU slave; auto-baud or 9600, 19200, 38400 and 115200 bps; 8E1, 8O1, 8N1 or 8N2
Power4.75 to 28 VDC; less than 0.15 W typical, approximately 5 mA at 24 VDC
Connection and mountingA-coded M12 5-pin male or high-flex integral cable; M5 threaded stud or high-force magnetic mount
Operating environment-40 to +85 degrees C; 10-95% RH non-condensing; IP67 / IP68 subject to connector and installation method
ProtectionReverse polarity, undervoltage lockout, short circuit, thermal shutdown and surge protection

Specify when ordering

  • Connector or integral-cable version
  • Mounting method and accessories
  • Required cable length, where applicable
  • Firmware profile and target machine type

Supporting engineering documents

  • Detailed Modbus register map
  • Mechanical dimensional drawing
  • Connector pin assignment and installation guide
  • Commissioning and alarm-setting procedure

Advanced diagnostic and prognostic items are firmware-dependent. Verify the applicable firmware and register-map revision before system integration.

Why PyXis stands out

Move beyond basic alarm values

PyXis is presented as a complete monitoring solution: sensing, spectrum analysis, machine-health insight and industrial integration in one workflow.

  • Earlier fault visibility
  • Actionable maintenance insight
  • Predictive planning support
  • Reduced breakdown risk
  • Fault classification context
PyXis product comparison, applications, key features and benefits

Condition intelligence at the machine

PyXis is a smart three-axis vibration sensor for continuous machinery health monitoring, fault indication and predictive-maintenance workflows. It measures acceleration, velocity and displacement independently on X, Y and Z and processes vibration locally so supervisory systems receive compact condition information rather than large raw time-waveform streams.

Motion, spectrum and machine state

Available values include acceleration RMS, peak and peak-to-peak, crest factor, velocity RMS and peak-to-peak, displacement peak-to-peak, up to twenty harmonic frequencies with corresponding acceleration amplitudes for each axis, per-axis severity and fault states, RPM, tachometer quality, speed state and 1X order information.

Advanced diagnostics and prognostics

Firmware profiles may expose envelope kurtosis, sideband density, harmonic consistency, cepstrum gear index, spectral kurtosis and cyclostationary index. Prognostic values can include Remaining Useful Life in days, failure probability, degradation index, time-to-maintenance, baseline status and aging factor. These outputs must be interpreted together with machine configuration, operating state and maintenance history.

Industrial integration

The sensor communicates as a Modbus RTU slave over two-wire half-duplex RS-485. Supported settings include slave ID 1-247, auto-baud or 9600, 19200, 38400 and 115200 bps, even, odd or no parity, configurable stop bits and a 0-50 ms response delay. Device identity, system-management commands, vibration values, spectral data, condition states, alarms and machine-profile settings are available through the controlled register map.

Commissioning workflow

  1. Mount the sensor rigidly and align the axes with the asset.
  2. Set the Modbus address, communications format and applicable machine parameters.
  3. Capture representative healthy operation before applying final warning and alarm thresholds.
  4. Map condition, alarm and prognostic values into PLC, SCADA, CMMS or analytics systems.

Technical and ordering notes

PyXis operates from 4.75 to 28 VDC with less than 0.15 W typical consumption, uses an A-coded M12 five-pin male connector or high-flex integral cable option, and supports M5 stud or high-force magnetic mounting. Sealed construction is rated IP67/IP68 subject to the selected connector and installation method. Specify the connection version, mounting accessories, required cable length, firmware profile and target machine type when ordering.

Controlled-document note: verify document TTN-DS-2026-002, the applicable firmware profile and the register-map revision before design or integration. Final alarm limits must be commissioned for the actual machine.

Technology insights

Professional engineering articles

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

Discuss your application

Choose PyXis before the next motor failure chooses your downtime.

Review sensor count, machine type, communications, installation points and integration requirements with our team.

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