Implementing machine condition monitoring at scale requires plugging technology gaps
A smart machine condition monitoring (MCM) system enabled by the industrial internet of things (IIoT) allows plants to proactively monitor, analyze, and act on the real-time condition of critical machines and components.
Fully achieving this vision is complicated by the quantity and geographic distribution of machines targeted for monitoring and the diverse types and brands of sensors, edge devices, and equipment installed at different points in time.
Companies want to leverage their existing investments while extending MCM into additional systems and environments. Modern edge-based data acquisition (DAQ) solutions are helping close this gap with older technology and make the goal of mass deployment possible.
Modeller
MCM-100
Intel Atom® x7-E3950 Processor-Based Machine Condition Monitoring Edge Platform
● Easy to set up, ready-to-go rotary machine vibration/condition monitoring edge platform
● Built-in 2 or 4CH, 24-bit simultaneous sampling analog inputs, up to 128kS/s
● Supports IEPE 2mA excitation current output on each analog input to drive accelerometer
● Equipped with Intel Atom® x7-E3950 processor (Quad core)
● Extremely compact with versatile I/O support
● Optional Wi-Fi kit
PCIe-10GPoE
2-CH PCI Express® 10 GigE Vision PoE+ Grabber
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PCI Express® x4 Compliant Gen 3
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Intel® server-grade X550-AT2 10 Ethernet Controller
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2-port independent 10 Gigabit LAN, up to 10Gbps data rate per port
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Supports NBASE-T technology (2.5 and 5.0 Gbps)
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IEEE 802.3at for PoE+ (Power over Ethernet Plus)
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Compatible with PoE, PoE+ and Non-PoE cameras
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Powered Device (PD) auto detection and classification
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Up to 20W/60W PoE power from PCIe bus/4-pin Molex connector
MCM-204
Standalone Ethernet DAQ with 4-ch AI, 24-bit, 128KS/s, 4-ch DI/O performance
● Standalone Ethernet DAQ enabling edge computing
● RESTful API for periodic machine condition polling
● Supports a C/C++ API for continuous data streaming
● Built-in web console for easy configuration and use as a portable DAQ
● Supports custom algorithms to filter data at the edge
● Supports IEPE 4mA excitation current output on each analog input to drive an accelerometer
● Two 1Gb Ethernet ports for cascading
● Supports TCP socket (client mode) to transmit data actively
MCM-210 Series
Standalone Ethernet DAQ with 8/16-ch AI, 16-bit, 250kS/s, 4-ch DI/O
● Standalone Ethernet DAQ enabling edge computing
● RESTful API for periodic machine condition polling
● Built-in web console for easy configuration and use as a remote DAQ
● Two 1Gb Ethernet ports for cascading
● 16-ch 250KS/s voltage input (MCM-216)
● 8-ch 250KS/s current input (MCM-218)
● Supports custom algorithms to filter data at the edge
● Supports USB Wi-Fi dongle for wireless data transmission
● Supports TCP socket (client mode) to transmit data actively