1. Product Overview

Product Name: MCM-100
Model: MCM-100
Series: Machine Condition Monitoring Edge Platform
Article Number: MCM-100
Manufacturer: ADLINK Technology Inc.
Product Type: Fanless embedded edge computing platform for machine condition monitoring
Processor Platform: Intel® Atom™ x7-E3950 Quad-Core Processor

The ADLINK MCM-100 is a compact, ruggedized, fanless embedded computer designed specifically for machine condition monitoring (MCM) and predictive maintenance applications. It integrates data acquisition, vibration analysis, edge computing, and network connectivity into a single, industrial-grade system. Built around the Intel Atom x7-E3950 processor, the MCM-100 provides reliable, real-time monitoring and analysis of rotating machinery, enabling predictive maintenance and minimizing unplanned downtime.

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2. Key Features

- Integrated Edge Computing Platform: Combines data acquisition, signal conditioning, computation, and network communication in one compact system.
- Intel Atom x7-E3950 Quad-Core Processor: Delivers efficient performance for real-time data processing and analytics at the edge.
- High-Precision Vibration Measurement: 4-channel, 24-bit resolution, up to 128 kS/s sampling rate for accurate vibration and condition monitoring.
- Built-in IEPE Excitation: Each channel includes a 2 mA IEPE current source, eliminating the need for external signal conditioning.
- Fanless, Rugged Design: Full aluminum alloy construction ensures durability in harsh industrial environments.
- Wide Power Input Range: Operates from 6–36 VDC, with optional 40W AC/DC adapter.
- Comprehensive Connectivity: Includes dual Gigabit Ethernet ports, multiple USB interfaces, serial ports, DisplayPort, and dual Mini PCIe slots for expansion.
- Flexible Mounting Options: DIN-rail and wall-mountable for easy integration into existing systems.
- Wide Environmental Tolerance: Operating temperature range of 0–55°C and storage temperature range of -20–70°C.
- Software Ecosystem: Supports Windows 10 IoT Enterprise/Core and Ubuntu Linux, with SDKs for LabVIEW, MATLAB, C/C++, Visual Basic, and Visual Studio .NET.
- Predictive Maintenance Enablement: Enables continuous monitoring, early fault detection, and data-driven maintenance scheduling.
- Reduced Downtime: Up to 70% reduction in unplanned downtime and related expenses through proactive monitoring.

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3. Technical Specifications

Physical Characteristics
- Dimensions: 183 (W) × 110 (D) × 83.85 (H) mm
- Construction: Full aluminum alloy enclosure
- Mounting Options: DIN-rail or wall mountable
- Weight: (Not specified; typical for class ~1.5–2.0 kg)

Environmental Conditions
- Operating Temperature: 0 to 55°C (32 to 131°F)
- Storage Temperature: -20 to 70°C (-4 to 158°F)
- Humidity: Up to 95% @ 40°C (non-condensing)
- Vibration Resistance: 5 Grms, 5–500 Hz, 3 axes (with mSATA SSD)
- Shock Resistance: 100 G, half sine 11 ms duration (with mSATA SSD)
- ESD Protection: Contact ±4 kV, Air ±8 kV
- EMC Compliance: CE & FCC Class B (EN61000-6-4 / EN61000-6-2)

Electrical Characteristics
- Power Input: 6–36 VDC
- Optional Adapter: 40W AC/DC adapter (Mean Well GST40A24-AD, 24VDC/1.67A, 90–264VAC input)

Processor and Memory
- CPU: Intel® Atom™ x7-E3950 Quad-Core Processor
- Memory: 2 GB DDR3L-1066 SODIMM RAM
- Storage: 128 GB mSATA SSD (factory installed)

Display and Graphics
- Video Output: 1 × DisplayPort

Networking and I/O Interfaces
- Ethernet: 2 × Intel® I210-IT Gigabit Ethernet ports
- Serial Ports: 2 × COM (RS-232/422/485 selectable)
- USB Ports: 2 × USB 3.0, 2 × USB 2.0
- Mini PCIe Slots: 2 × Mini PCIe card slots with USIM socket
- Wireless Options: Wi-Fi/4G LTE wireless kit (optional)
- Digital I/O: 2 programmable function I/O channels

Vibration Measurement I/O
- Channels: 4
- Resolution: 24-bit
- Maximum Sampling Rate: 128 kS/s
- Input Range: ±10 V
- Input Mode: Differential / Pseudo-differential
- Input Coupling: AC/DC selectable
- IEPE Excitation Current: 0 or 2 mA (compliance voltage 24 V)
- Overvoltage Protection: ±60 V
- DC Accuracy (Offset Error): Typical ±0.15 mV, Max ±0.3 mV
- DC Accuracy (Gain Error): Typical ±0.15%, Max ±0.3%
- System Noise: 50 μVrms
- Bandwidth (-3 dB): 0.49 × sampling rate

Analog Performance Metrics
- AC Cutoff: 0.4 Hz (-3 dB), 2.4 Hz (-0.1 dB)
- Flatness: ±0.01 dB (20 Hz to 1 kHz)
- CMRR: 60 dB (20 Hz to 1 kHz)
- Crosstalk: -100 dB
- Dynamic Range: 100 dB
- SFDR: 104 dB
- THD: -94 dB
- THD+N: -91 dB

Triggering and Calibration
- Trigger Source: Analog or digital, software selectable
- Trigger Modes: Post, delay, middle, pre-trigger, re-trigger
- Auto-Calibration: Supported

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4. Functionality

The MCM-100 serves as a complete edge-based machine condition monitoring system, integrating data acquisition, signal processing, and communication capabilities. It continuously collects vibration and operational data from rotating machinery, such as motors, pumps, compressors, and CNC spindles.

How It Works:
1. Data Acquisition: The built-in 4-channel, 24-bit ADC captures high-resolution vibration signals from connected accelerometers or sensors.
2. Signal Conditioning: Integrated IEPE excitation provides direct sensor power, eliminating external conditioning modules.
3. Edge Computing: The Intel Atom processor executes vibration analysis algorithms locally, reducing data transmission to the cloud.
4. Data Upload and Analysis: Processed data can be transmitted via Ethernet or wireless modules to dashboards or cloud platforms for visualization and long-term trend analysis.
5. Real-Time Monitoring: Enables immediate detection of anomalies, triggering alerts or maintenance actions before failures occur.

Use Cases and Applications:
- CNC Machining Centers: Continuous spindle and bearing vibration monitoring for precision manufacturing.
- Robotics: Monitoring of servo motors and actuators for predictive maintenance.
- Automotive Production Lines: Condition monitoring of conveyors, pumps, and rotating tools.
- Energy Sector: Monitoring turbines, compressors, and generators for early fault detection.
- Air Conditioner Manufacturing Plants: Predictive maintenance of lifting equipment, vacuum pumps, and compressors.

Compatibility:
- Compatible with Windows 10 IoT Enterprise/Core and Ubuntu Linux.
- Supports integration with third-party dashboards and analytics platforms.
- SDKs available for LabVIEW, MATLAB, C/C++, Visual Basic, and Visual Studio .NET.

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5. Components & Accessories

Included Components:
- MCM-100 main unit (fanless embedded computer)
- Factory-installed 128 GB mSATA SSD
- 2 GB DDR3L memory module
- Mounting brackets (DIN-rail/wall mount)
- Power connector terminal block

Optional Accessories:
- ICP Accelerometer IMI_603C01: 100 mV/g, 0.5–10 kHz frequency range, 2-pin connector, includes 10-ft cable and magnetic mount.
- GM Lite License Key: Software license for Phoenix GM Lite vibration analysis software.
- Wi-Fi/BT Kit: FANGTEC WLAN 802.11ac 2T2R + Bluetooth 4.0 Half Mini Card.
- AC-DC Adapter (40W): Mean Well GST40A24-AD, Input 90–264 VAC, Output 24 VDC/1.67 A.
- Rotary Machine Condition Monitoring Starter Kit: Preconfigured package for proof-of-concept and rapid deployment.

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6. Installation & Setup

Requirements:
- DC power supply (6–36 VDC) or optional 24 VDC adapter.
- Mounting surface or DIN rail for installation.
- Connection to vibration sensors (IEPE accelerometers recommended).
- Network connectivity via Ethernet or optional wireless module.

Mounting Options:
- DIN-Rail Mounting: For control cabinet integration.
- Wall Mounting: For standalone or near-machine installation.

Configuration Steps:
1. Mount the unit securely using the provided brackets.
2. Connect power input and I/O interfaces.
3. Attach accelerometers using magnetic mounts for flexible positioning.
4. Configure network settings and install monitoring software.
5. Calibrate sensors using built-in auto-calibration function.
6. Begin data acquisition and monitoring through the chosen dashboard or analytics platform.

Ease of Setup:
- Plug-and-play accelerometer connection with built-in IEPE excitation.
- No additional signal conditioning required.
- Compact design allows installation close to monitored equipment, minimizing wiring.

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7. Performance & Capabilities

Processing and Computation:
- Quad-core Intel Atom x7-E3950 provides sufficient processing power for real-time vibration analysis and edge analytics.
- Local computation reduces cloud dependency and network bandwidth usage.

Data Acquisition Performance:
- 24-bit resolution ensures high-fidelity signal capture.
- Sampling rate up to 128 kS/s per channel supports detailed vibration spectrum analysis.
- Low noise (50 μVrms) and high dynamic range (100 dB) enable precise detection of subtle mechanical anomalies.

Efficiency and Reliability:
- Fanless design eliminates moving parts, enhancing reliability and reducing maintenance.
- Continuous 24/7 operation capability for industrial environments.
- Up to 70% reduction in unplanned downtime and maintenance costs through predictive analytics.

Limitations:
- Operating temperature limited to 55°C; may require additional cooling in high-temperature environments.
- Fixed 2 GB RAM may limit extremely data-intensive applications, though sufficient for typical MCM workloads.

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8. Standards & Compliance

Certifications and Compliance:
- EMC: CE & FCC Class B compliant (EN61000-6-4 / EN61000-6-2).
- Shock and Vibration: Meets industrial-grade standards (100 G shock, 5 Grms vibration).
- ESD Protection: ±4 kV contact, ±8 kV air discharge.
- Environmental: Designed for industrial operating conditions (0–55°C, 95% humidity).

Industry Standards Supported:
- IEPE Sensor Compatibility: Compliant with standard IEPE accelerometer interfaces.
- Software Standards: Compatible with major industrial software environments (LabVIEW, MATLAB, Visual Studio).
- Networking Standards: IEEE 802.3 Gigabit Ethernet, IEEE 802.11ac (optional).

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9. Additional Information

Warranty:
- Standard manufacturer warranty (typically 1–3 years, depending on region and configuration).

Support and Maintenance:
- ADLINK provides technical documentation, SDKs, and driver support for multiple operating systems.
- Firmware and software updates available through ADLINK’s support portal.
- Optional extended service contracts and on-site support available.

Maintenance:
- Fanless design minimizes maintenance requirements.
- Periodic inspection of sensor connections and cleaning of external surfaces recommended.
- Software calibration and firmware updates can be performed remotely.

Updates and Lifecycle:
- Long-term availability and support aligned with Intel’s embedded product lifecycle.
- Regular updates to maintain compatibility with evolving IoT and edge computing ecosystems.

Summary of Benefits:
- Reduced Downtime: Predictive maintenance capabilities minimize unexpected failures.
- Simplified Integration: All-in-one design reduces wiring and setup complexity.
- Scalable Edge Intelligence: Local analytics reduce cloud costs and latency.
- Industrial Durability: Rugged, fanless construction ensures reliability in demanding environments.
- Flexible Deployment: Suitable for diverse industries including robotics, automotive, energy, and manufacturing.

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Conclusion

The ADLINK MCM-100 Intel Atom E3950 Machine Condition Monitoring Edge Platform is a purpose-built, industrial-grade solution for real-time machine health monitoring and predictive maintenance. By integrating high-precision vibration measurement, edge analytics, and robust connectivity in a compact, fanless design, the MCM-100 empowers manufacturers and operators to transition from reactive to predictive maintenance strategies. Its combination of rugged hardware, flexible software support, and comprehensive I/O interfaces makes it an ideal choice for modern Industry 4.0 and Industrial IoT (IIoT) deployments.