Can a VFD be simulated on a PC?

𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁: 𝗥𝗲𝗺𝗼𝘁𝗲 𝗖𝗹𝗮𝘀𝘀 𝗜 𝗦𝗼𝘂𝗻𝗱 & 𝗩𝗶𝗯𝗿𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗖𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻 𝗦𝗶𝘁𝗲𝘀 TBG Solutions partnered with a global construction firm to develop a configurable application independent remote monitoring and data acquisition product platform, monitoring disruptive noise and vibration across the multiple construction sites while ensuring compliance with Class I standards and protecting the customer from potential litigation problems. 𝗧𝗵𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Leveraging the NI sbRIO platform with the large range of C series modules available we have created a configurable application independent remote monitoring and data acquisition product platform, with cloud storage and processing and internet browser interface. 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: The system features real-time data acquisition and processing, ensuring that noise and vibration levels are captured and analysed accurately. All collected data is stored in the cloud using TDMS format, enabling secure archiving and easy access for compliance and analysis. A web-based user interface provides global accessibility, allowing stakeholders to visualize data, generate reports, and configure system nodes from any location. The architecture is built using LabVIEW Object-Oriented Programming (OOP), FPGA, and Remote Panels, making it highly modular and adaptable to various applications. Additionally, the system integrates Class I ICP microphones and accelerometers, delivering precise measurements of sound pressure levels (LAeqT dB) and vibration velocity, essential for meeting regulatory standards and protecting communities near the construction sites. 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱:  • Scalable across industries and sensor types  • Cost-effective development with LabVIEW  • Global accessibility via browser & mobile  • Secure, centralized data control We were able to create a powerful configurable platform that has reach and appeal beyond our original customer. Our customer has the data and protection they required delivered by a platform which exceeds their requirements #Construction #Vibration #Construction #NI #Data #TBGSolutions

🚀 Excited to share Volume 2 of the Omega Transactions series! Building on the foundation of Volume 1, this edition dives deeper into the science and technology of data acquisition, measurement, and control. Designed for instrumentation engineers, students, and professionals, it serves as a practical, vendor-neutral reference packed with insights and best practices. 🔍 Inside Volume 2: Analog & Digital I/O – A/D & D/A conversion, resolution, aliasing, and real-world challenges in accurate data acquisition. Signal Transmission – Noise reduction, grounding techniques, and guidance on choosing the right cables for reliability. Digital Protocols & Networks – RS-232, RS-422, RS-485, Profibus, Foundation Fieldbus, plus topologies like ring, star, and bus. Hardware Selection – Plug-in cards, standalone systems, signal conditioners, transmitters, and remote I/O devices. Data Presentation & Storage – Software solutions, recorders, loggers, and modern paperless videographic systems. Comprehensive Appendices – Glossary, acronyms, references, and index for quick navigation. 👉 Whether you’re designing a new instrumentation system or optimizing an existing one, this volume provides expert technical guidance you can trust. Stay tuned—Volumes 3 & 4 are on the way! #Instrumentation #Measurement #Temperature #Engineering #DataAcquisition #TechnicalReference #OmegaTransactions #Control #ProcessControl #Automation #IndustrialAutomation #ElectricalEngineering #Electronics #SystemsEngineering #ControlSystems #IndustrialEngineering #EngineeringEducation #STEM #IoT #Sensors #DAQ #ProcessAutomation

Memory Areas in Siemens S7-1200 PLCs Every memory location in a PLC has a unique address. Your user program accesses these addresses to read or write data. In Siemens S7-1200, memory areas are categorized based on: 🔹 Function 🔹 Accessibility 🔹 Retention behavior Process Image vs Physical Access Process Image: Inputs (I) and Outputs (Q) are copied once per scan cycle into internal memory. Example: I0.3, Q1.7 refer to the process image. Physical Access: To read/write the actual hardware state immediately, append ":P". Example: I0.3:P, Q1.7:P, or symbolic tag like "Stop:P" Key Notes for Programming ✅ Use :P suffix for real-time access to hardware I/O ✅ Forcing is allowed only on physical I/O (I_:P, Q_:P) ✅ Retentive memory retains values after power loss—ideal for flags, counters, set points ✅ Temporary memory is cleared after each block execution—use for local calculations This concept is essential for mastering scan cycles, optimising logic, and troubleshooting I/O behaviour in real-world automation systems. Let’s make learning easier—share your thoughts to simplify this concept for students. #PLCProgramming #SiemensS7 #IndustrialAutomation #SCADA #Mechatronics #AutomationTraining #EngineeringEducation #SkillDevelopment #NovatechSolution #DigitalLearning #Industry4.0 #LinkedInLearning #PLCLogic #AutomationIndia

Tessent MemoryBIST Expands to Include NVRAM Game-changer in semiconductor testing! Siemens Digital Industries Software has expanded their industry-leading Tessent™ MemoryBIST platform to include embedded non-volatile RAM (NVRAM) support - addressing a critical gap as AI workloads drive unprecedented NVRAM adoption. Key highlights: - Breaking barriers: First comprehensive BIST automation solution for emerging NVRAM technologies like MRAM - Advanced capabilities: Automated trimming/calibration sequences that were previously manual processes - Future-ready architecture: Support for 2.5D/3D stacked memory configurations and external memory testing - Proven platform: Hierarchical IEEE 1687-2014 (IJTAG) network enables lifecycle management from manufacturing to field deployment - Cost efficiency: Reduces manufacturing costs while improving reliability and test coverage With Flash memory struggling to scale to advanced process nodes, this NVRAM support couldn't come at a better time. The platform's ability to define custom waveforms for new NVRAM technologies positions teams to stay ahead of rapid memory evolution. Why this matters: As embedded NVRAM becomes essential for AI/ML applications, having robust, automated testing solutions is crucial for maintaining quality and time-to-market advantages. #Siemens #Siemenseda #SiemensSoftware #EDA #SiemensDigital #SiemensDigitalIndustries #MemoryBIST #NVRAM #MRAM #SemiconductorTesting #ElectronicDesignAutomation #TessentMemoryBIST #EmbeddedMemory #NonVolatileMemory #FlashMemory #MemoryTesting #MemoryArchitecture #3DMemory #StackedMemory #MemoryDesign #MemoryReliability #MemoryDebug #SemiconductorIndustry #ChipDesign #ICDesign #SiliconTesting #DFT #DesignForTest #ManufacturingTest #SiliconDebug #YieldOptimization #DefectCoverage #BIST #BuiltInSelfTest #AutomatedTesting #TestAutomation #QualityAssurance #ReliabilityTesting #ManufacturingQuality #TestCoverage #ValidationTesting #CharacterizationTesting #AIChips #MachineLearning #ArtificialIntelligence #AIWorkloads #MLAccelerators #ComputeIntensive #HighPerformanceComputing #EdgeComputing #AIHardware #AdvancedProcessNodes #SemiconductorManufacturing #ProcessTechnology #ManufacturingCosts #TimeToMarket #ProductionTesting #FieldTesting #LifecycleManagement #IEEE1687 #IJTAG #TestStandards #IndustryStandards #TestProtocols #AccessNetworks #TestInfrastructure #TechInnovation #ProductDevelopment #EngineeringSolutions #TechnologyLeadership #SemiconductorNews #TechTrends #IndustryNews #Innovation #TechUpdates #B2BTech #AutomotiveSemiconductors #IoTChips #DataCenterMemory #MobileProcessors #ConsumerElectronics #IndustrialIoT #5GChips #AutonomousVehicles

👨💻Debugging Embedded Systems Efficiently 🥶Ask any embedded engineer, and they’ll tell you: building is fun, but debugging is where the real challenge begins. Unlike software-only development, embedded systems debugging often involves both hardware and firmware, making it far more complex. 👾Common challenges include: 🔹 Bugs that only appear under specific timing or power conditions. 🔹 Memory leaks on systems with just a few KB of RAM. 🔹 Communication glitches due to signal integrity or protocol mismatches. Luckily, the right tools and mindset can dramatically shorten debugging time: JTAG/SWD Debuggers: Allow you to step through code and inspect variables in real time. Logic Analyzers & Oscilloscopes: Vital for analyzing signals and ensuring hardware is behaving as expected. Serial Debugging: UART logs (when used smartly) can provide invaluable hints. Static Analysis Tools: Catch subtle code issues before runtime. One strategy I’ve found most effective is combining systematic logging with visualization. For example, using real-time data visualization tools to monitor sensor readings helps identify subtle inconsistencies much faster than raw logs. 💢Good debugging is also about discipline: break down the problem, isolate variables, and verify assumptions step by step. Trying random fixes usually ends up wasting more time. 👉 What’s your go-to debugging setup? Do you swear by an oscilloscope on your desk, or are you a fan of advanced debuggers like Segger J-Link? #EmbeddedSystems #Debugging #Firmware #EngineeringChallenges #IoT

Have you ever felt intimidated by complex technology, only to find it's more accessible than you thought? The moment of realization often comes when people see that the perceived conceptual barrier isn't as high as they expect. It can be a "massive relief" for those eager to dive in. Consider the world of PLCs—specialized industrial computers that orchestrate machines and processes. Understanding that even intricate systems can be demystified can be transformative. What tools or technologies have you found surprisingly approachable? Would love to hear your perspective. #IndustrialAutomation #PLC #TechSimplified #MachineLearning #Innovation #Engineering

PLC best explanation Think of a PLC as a brain for machines that takes information from sensors (inputs) and decides what actions to take (outputs) depending on the program inside it. It is designed to work in tough industrial environments with dirt, moisture, vibration, and electrical noise. Instead of bulky, complicated wiring with mechanical relays, everything is controlled by a digital program that can be changed easily. Dramatic Highlights of PLC PLCs revolutionized industrial automation by replacing thousands of messy relay wires with a tiny, rugged computer. Their invention in the late 1960s ended a mechanical era, enabling flexible, efficient machine control with just software. This flexibility means factories can quickly change production lines by updating PLC programs rather than rewiring circuits. PLCs also come with diagnostic tools that make troubleshooting fast, cutting costly downtime In summary, a PLC is like the smart conductor of an industrial orchestra, coordinating machines with precise commands from a programmable brain, enabling efficiency and adaptability in industrial processes

Worthwhile certification… MCP servers interfaced to Scada systems and AI models can talk through that … LLM engineering and hallucination evals are interesting … GPT( Generative Pre Trained Transformers) …. Foundation models or building wrappers around them and applying them to various use cases.

Common Problems with Memory Components in Chips: A common problem in Chip Design Memory Problems in chips are a significant issue, since they can lead to worse performance, the system crashing, and even loss of data. These problems typically happen, due to mistakes or defects that were made in the design process of the chip, or due to harsh environments (Such as, Hot/Cold Temperatures, Radioactive environments, and very rainy conditions) There are 2 types of errors that can occur, Soft errors, and Hard errors. Hard Errors are permanent, and cannot be fixed. Some examples of these types of problems are: Stuck at faults: Logic gate is stuck at either 0 or 1. Transition Faults: A memory component, not being able to go from a 0 to 1 during wire operation. Time-dependent dielectric breakdown (TDDB): The insulating layer in the memory components is decreasing in performance, which slowly leads data being lost. Soft Errors: These're errors that can be fixed. They only temporarily caused problem, and then stop. Some examples of this are: Alpha Particle Strikes: This is when Radioactive Decay occurs memory chips, and as a result an alpha particle gets released. This leads to storeddatabeing damaged. Cosmic Ray Strikes: Particles that have a high energy can lead to data being damaged. Electrical Noise: These are various disturbances, that can lead to data, that is transferred on the data bus, to be corrupted. (An example of these types of disturbances would be Electromagnetic Interference (EMI)) SOLUTIONS: Error correcting Code (ECC): This is adding additional data bits in case some data is lost, there is an extra version of it. This is used in critical situations. Built In Self Test (BIST): A feature, where the chip can test, and detect errors in memory, and be able to prevent more data from being lost. Testing Memory Components: Various Tests, such as March Algorithms, should be performed early in the design process, to identify defects, and issues early on. Environment Awareness: Test the memory be able to withstand various environments, and be aware which it cannot. If. chip enters harsh environment, it's. memory may degrade, however in the proper conditions, memory should not decrease. Constant Awareness: It is important to be aware and perform tests on the chips memory, and when a defect is detected, it is essential to remove it, and fix it(if fixable- hasn't been to damaged.), if not fixable, then has to be disposed, and replaced.

Whether you’re a student stepping into labs or an engineer troubleshooting real-world circuits, understanding test equipment is a must. That’s why I’m sharing this detailed Test Equipment Guide PDF. It covers everything from: ✔️ Multimeters & Oscilloscopes ✔️ Power Supplies & Function Generators ✔️ Spectrum & Logic Analyzers ✔️ Thermal Cameras, LCR Meters, DC Loads, and more Credit: Shimi Cohen #arduino #electronics #electronicengineering #technology #innovation #robotics #FutureTech #automation #engineering #iot #tech #ai #internetofthings #machinelearning #programming #coding #homeautomation #robot #embeddedsystems #stem #semiconductors #technews #hardware