Motor health is crucial for ensuring the efficiency and reliability of industrial systems. This application note describes how to detect performance anomalies by analyzing vibration patterns using an Arduino Nicla Sense ME, an Arduino Opta, and Edge Impulse (a Qualcomm company): https://lnkd.in/dJ9M3HuQ
Detecting motor health anomalies with Arduino and Edge Impulse
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Floating state issues when detecting signals -- when a sensing pin (e.g in a microcontroller) isn't connected/ being powered by anything has a tendency to pick up random static. to prevent this we use a pull down resistor - a high resistance (about 10 k ohm) connected from the pin to the ground. when powered, the resistance is high enough to be ignored by the signal(i.e it doesn't get bothered to go into it and instead goes directly to the pin -- see diagram)
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Heartbeat monitoring Arduino MCU’s (and knockoffs) under MIL-STD vibration testing. When I threw an Arduino Nano in my fridge I was pleasantly surprised how well it performed under low temperature conditions. Made me curious about their shock and vibration rating, but none were listed. Ok, let me help with that.These little buggers are “robusto”! Early results are surprising. Full review video coming soon. #arduino #nano #mcu #microcontroller #vibrationtesting
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Monitoring ROS 2 Systems from the Terminal When running robots with ROS 2, we often need to keep track of both system performance and ROS activity in real time. That’s what ros2sysmon (created by Pito Salas) does. What it does: ✅ Live system metrics (CPU, memory, disk, temperature, uptime, network latency) ✅ ROS-specific monitoring: nodes, topics (with Hz & counts), TF frames ✅ Alerts when thresholds are exceeded (e.g., CPU > 85%, topic not publishing at expected Hz) Instead of juggling multiple ros2 topic hz, htop, and monitoring tools, you get a single terminal dashboard that shows both robot health and ROS graph activity at a glance. How do you monitor your ROS 2 systems performances? Let's connect and share insights 🔽
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🤖 Real-time monitoring is crucial for embedded systems and robotics! This ros2sysmon tool by Pito Salas caught my attention - it's exactly the kind of unified monitoring approach we need in embedded development. As someone working with embedded systems and IoT platforms, I appreciate tools that consolidate multiple monitoring streams into one dashboard. Whether it's: • STM32-based motor controllers tracking sensor data • Industrial IoT networks monitoring device health • Real-time systems ensuring millisecond-precision responses The principle remains the same: you need visibility into both system performance AND application-specific metrics. In my recent projects with battery management systems and industrial automation, I've implemented similar monitoring approaches using CAN diagnostics, MQTT telemetry, and custom dashboards. Having everything in one view - from CPU usage to communication protocol health - is a game-changer for debugging and optimization. #EmbeddedSystems #ROS2 #IoT #Monitoring #Robotics #SystemsEngineering
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One size never fits all. That’s why we built two. P4-16 • 16mm OD, 2g, 250W peak • Fits directly on small motors, vanishes into tight spaces • Ideal for humanoids, exoskeleton joints, and compact lab systems P4-37 • 37mm OD, heavier mass, higher current drive (up to ~2kW peak) • Designed for bigger motors with higher torque demands • Ideal for large manipulators, mobile platforms, and heavy-duty research arms Both share the same DNA: space-vector commutation, dual iSense sensors, CANopen networking up to 31 nodes. The difference is simple: P4-16 is about density. P4-37 is about power.
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Another patent is in the books for SwitchMon - https://lnkd.in/eE826CEN With our latest patent we can now offer customers Continuous Thermography Monitoring without any down time as a retrofit by re-using the existing infrared inspection windows.This is a game changer for industry. No more difficult mounts of wired or wireless temperature sensors inside switchgear. A simple replace of the IR window cover with our thermography sensor mount.
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With Maker Faire Rome just around the corner, we're reminiscing about some of the fun we had with our partners STMicroelectronics back in 2024. Here, Carlo Parata shows off a couple of Arduino demos running on the dual-core STM32H747XI microcontroller. The first is an Opta-powered building management system capable of measuring environmental data and detecting the presence of guests, then turning on the lights, HVAC, and more accordingly. 🏢💡🌡️ The other is an AI-enabled hand posture recognition system that can play you in a game of rock, paper, scissors using the GIGA R1 WiFi and GIGA Display Shield. ✊✋✌️ Stay tuned to see what else we have in store for #MFR2025! 🇮🇹
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This project aims to accelerate the process of identifying soil density values from the subgrade, subbase, and base course layers by integrating vibration, speed, and acceleration sensors connected to an Arduino Mega 2560 microcontroller. The data generated enables real-time monitoring and adjustment during the compaction process in accordance with SNI (Indonesian National Standard) 1738-2011.
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What a great tutorial! 🎉