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Smarter vibration diagnostics  -  powered directly at the sensor


Modern machines generate massive volumes of vibration data that are difficult to manage, especially in distributed or embedded systems.

Smart accelerometers solve this by processing vibration signals directly at the sensor and delivering real-time diagnostic insights instead of raw waveform data.

Actionable insights. Faster decisions. Simpler systems. 

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Focus on actionable insights instead of raw data—lowering infrastructure, storage, and processing costs

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Replace complex wiring and centralised architectures with a flexible, distributed CAN-based network

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Detect faults earlier with real-time diagnostics and reduce unplanned downtime

Introduction to CAN MD smart sensors

In this video, Brian Johnson, Applications Development Supervisor at Dytran by HBK, introduces CAN‑MD smart sensor technology. He outlines the background and capabilities of CAN‑MD, explains key applications and benefits, and provides an overview of the available developer kits, software and product line developments.

Watch the video to see how CAN‑MD enables a smarter approach to machine health monitoring.

Why traditional vibration monitoring often falls short

Traditional vibration monitoring relies on raw data collection and centralised processing, which creates major limitations:

  • High data volumes overload systems
  • Bandwidth limits scalability
  • Complex wiring increases costs
  • Delayed fault detection slows response


Result: more data, but less insight

Smart accelerometers: distributed diagnostics at the edge

Smart accelerometers embed signal processing and diagnostics directly inside each sensor, transforming vibration monitoring into a real-time decision system.


How it works:

  • Measure vibration
  • Process signals onboard (FFT, RMS, condition indicators)
  • Transmit only relevant data via CAN


No raw data streaming. Only actionable insights

Scalable system architecture

Smart accelerometers operate as independent nodes on a CAN network, enabling efficient distributed monitoring:

  • No central DAQ required
  • Simplified cabling
  • Deterministic communication
  • Easy system expansion

 
Built for industrial and embedded applications

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Explore CAN‑MD distributed diagnostics

Smart accelerometers are built on the CAN‑MD architecture — a distributed sensing platform where each sensor acts as an intelligent node performing acquisition, signal processing, and condition indicator extraction locally.

This approach enables deterministic CAN communication, reduced data bandwidth, and advanced diagnostics at the edge.

Smart vs. Traditional Accelerometers: Which Is Right for Your Application?

Choosing the right accelerometer architecture depends on how vibration data will be used.

Feature Traditional Analog Accelerometer + DAQSmart Accelerometer Smart Accelerometer
Signal output Continuous analog waveform Processed digital condition indicators
Signal processing External DAQ and software Embedded inside sensor
Wiring Point-to-point Single CAN Bus Wire – Up to 30 sensors per
Installation complexity Higher Simplified
Data bandwidth High Controlled and predictable
Scalability Moderate High - Ability to include Traditional Sensing Technologies into CAN Structure
Best suited for detailed waveform analysis, lab testing, R&D distributed monitoring, predictive maintenance, embedded diagnostics

White paper: Why choose CAN‑MD smart sensors for machine health monitoring?

CAN‑MD smart sensors combine vibration sensing, signal processing and CAN bus communication in a single device. By delivering actionable condition data directly at the sensor, they reduce system complexity and support more efficient, reliable machine health monitoring.

Download our white paper to explore the technology and learn how to build a smarter condition-based maintenance strategy.

Engineered for Demanding Applications

Smart accelerometers are especially valuable where data efficiency, reduced wiring, distributed diagnostics, and reliability are essential.

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Smart accelerometers support distributed vibration monitoring in rotorcraft HUMS, propulsion systems, and airborne structures.

Embedded processing at sensor level reduces wiring weight and transmits relevant condition indicators over onboard networks.

This architecture improves fault detection on rotating components while supporting platform reliability and lifecycle management.

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Monitor vibration signatures across motors, servo drives, robotic gearboxes, and spindles with real-time diagnostic intelligence.

Smart accelerometers process critical condition indicators locally and transmit only essential data, helping maintenance teams detect imbalance, bearing degradation, or mechanical looseness without saturating industrial communication networks.

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Enable continuous condition monitoring of bogies, wheelsets, axle boxes, traction systems, and auxiliary equipment across rolling stock fleets.

Smart accelerometers provide stable vibration data over distributed networks, supporting earlier fault detection, improved asset availability, and more efficient condition-based maintenance strategies.

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Integrated directly into CAN-based vehicle architectures, smart accelerometers monitor drivetrain vibration, e-axles, pumps, suspension systems, and onboard auxiliary equipment.

Local signal processing improves diagnostic efficiency while reducing network load—supporting vehicle reliability, predictive maintenance, and fleet telematics.

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Monitor nacelles, gearboxes, generator bearings, and pitch systems with embedded vibration diagnostics at source.

Smart accelerometers help maintenance teams detect developing faults earlier, reduce service interventions, and improve uptime across remote or difficult-to-access energy assets.

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Simplify instrumentation for endurance testing, durability rigs, and accelerated validation programs.

By calculating condition indicators directly inside the sensor, smart accelerometers reduce data acquisition requirements while providing real-time vibration insight throughout long-duration test campaigns.

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Case Study: Reliable fan monitoring for safer rail operations

 

The Réseau express métropolitain (REM) is the world’s longest automated light rail network, serving the Greater Montréal area. To meet strict safety requirements in tunnels and stations, REM needed a reliable way to monitor smoke evacuation fans. This case study shows how CAN‑MD smart sensors enable proactive vibration monitoring to improve safety, reliability and operational efficiency.

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HBK Smart Accelerometer Solutions

HBK offers smart accelerometer solutions designed for demanding vibration monitoring applications. Our portfolio supports distributed diagnostics across aerospace, transportation, industrial automation, and mobile platforms.

  • CAN-Based Smart Accelerometers : For distributed monitoring with simplified network architecture.
  • Embedded Diagnostic Accelerometers : For onboard condition indicators and real-time vibration analysis.
  • Rugged Industrial Smart Sensors: Designed for harsh operating environments.
  • Application Engineering Support :Our specialists help define sensor selection, mounting strategy, network architecture, diagnostic, system integration

FAQ | Answer to your questions about Smart Accelerometers

A smart accelerometer combines vibration sensing, signal conditioning, embedded processing, and digital communication inside a single sensor. Instead of delivering only raw vibration signals, it provides processed condition indicators directly from the sensor.

By processing vibration data locally. Only relevant outputs such as RMS, FFT-based indicators, peak values, or configured health metrics are transmitted, reducing network traffic and storage requirements.

Choose smart accelerometers when you need:

  • distributed monitoring
  • reduced wiring
  • onboard diagnostics
  • predictive maintenance
  • scalable condition monitoring


Traditional analog accelerometers remain ideal for deep waveform analysis and lab-based testing.

Yes. Many smart accelerometers are designed for CAN-based communication, allowing multiple sensors to operate over one network while simplifying installation and improving scalability.

Yes. They are widely used in aerospace, transportation, industrial machinery, and mobile platforms where vibration, shock, temperature variation, and reliability are critical.