Petasense

IIoT-based vibration monitoring provides continuous, real-time insights into machine health, addressing the limitations of route-based monitoring, which can miss critical developments. In a recent case, a pump bearing fault exhibited stable trends over several months. As failure approached, overall acceleration values spiked sharply—signaling rapid deterioration that periodic measurements might have overlooked. IIoT systems captured these changes in real-time, enabling proactive intervention and preventing unplanned downtime. Have you encountered similar scenarios in your operations? We’d love to hear your insights. #IIoT #PredictiveMaintenance #VibrationAnalysis #ConditionMonitoring #AssetReliability #Petasense

Petasense is proud to see co-founder Abhinav Khushraj featured on The Tech Icon Podcast! In this episode, Abhinav discusses his journey from Chennai to Silicon Valley, focusing on purposeful tech and making an impact. It’s a great listen for anyone interested in technology and entrepreneurship. Check out the full episode below ?? #entrepreneurship #industrialiot #tech #podcast #petasense #innovation

We were thrilled to join this year’s WCEAM 2024 in New Delhi, the 18th World Congress on Engineering Asset Management! It was a fantastic opportunity to connect with industry leaders, researchers, and practitioners to explore advancements in engineering asset management and IIoT. We’re incredibly proud to have earned 2nd place for Best Paper among such talented presenters. Special thanks to our colleague, Akash Shrivastava, PhD, for his impactful presentation on IIoT case studies in condition monitoring, and to the WCEAM organizers for hosting such an inspiring event! #WCEAM2024 #Innovation #IIoT #PredictiveMaintenance #AssetManagement #AssetReliability #IndustrialIoT #Petasense

Introducing the all-new Petasense VM4 - the future of condition monitoring for rotating equipment. ?? With 5-year battery life, 6 kHz frequency response, and expanded onboard memory, the VM4 redefines predictive maintenance for critical machinery. ?? Detect early-stage defects with precision, from bearing wear to gear mesh issues. The VM4 Pro goes even further — with built-in speed detection tailored for variable speed and variably operating assets, it’s the perfect solution for complex industrial environments. ?? Enhanced edge computing empowers the VM4 with advanced features like Spectrum Averaging and Dynamic Measurement Capture, delivering deeper insights and enabling quicker decision-making, all directly on the device. The VM4 is more than just a sensor — it’s your key to unlocking ultimate asset reliability. ?? Request a free demo today at www.petasense.com. #WirelessSensor #VibrationMonitoring #PdM #ConditionMonitoring #PredictiveMaintenance #IndustrialIoT #Reliability #Petasense

???????????? ?????? ?????????? ???? ?????????????????????? ???????????????????? ?????? ???????????????????? ?????????????? (????????) Managing reliability programs across multiple sites can be overwhelming, leading to resource drain and inconsistent practices—challenges that many global organizations face. Centralized Monitoring & Diagnostic Centers offer a solution. By streamlining resources and standardizing best practices, Centralized MDCs drive efficiency and reliability across all locations. Learn how centralizing your condition monitoring strategy can elevate operational performance and reduce costs. Read our latest blog post: https://lnkd.in/g6d4-DJt #AssetReliability #CentralizedMonitoring #PredictiveMaintenance #IndustrialIoT #OperationalEfficiency #ConditionMonitoring #Petasense

Addressing Critical Challenges in Industrial Pump Monitoring We're excited to share that our article "Advanced Pump Monitoring with Industrial IoT" has been featured in the September issue of Pumps & Systems Media! Industrial pumps are the backbone of operations across various sectors, from water treatment to power generation and pharmaceuticals. However, issues like cavitation, seal leaks, and misalignment can cause significant disruptions and even lead to costly downtime. In this article, we explore how wireless monitoring technologies are transforming the way industries manage these critical assets. By leveraging IIoT-based solutions, companies can detect and address potential pump failures before they escalate, ensuring operational reliability and efficiency. Check out the article on pages 55-57: https://lnkd.in/gGiC5XUy #IndustrialIoT #PumpMonitoring #PredictiveMaintenance #OperationalReliability #PumpsAndSystems #Petasense

Petasense is coming to Turkey! We are thrilled to announce that Petasense has formed a strategic partnership with Prognostic Engineering, an esteemed engineering services company led by Ali Taze, to expand our reach and impact in Turkey. Ali brings 21 years of industry experience, with a background in Industrial Maintenance, Automation, and Project Management. Under his leadership, Prognostic Engineering offers world-class asset reliability and process optimization services in industries such as Cement, Steel, Pharmaceuticals, Petrochemicals and more. Prognostic Engineering’s extensive technology partnerships enable them to provide a wide range of services, from vibration monitoring of rotating equipment to ultrasound monitoring and corrosion detection. This comprehensive service portfolio aligns perfectly with Petasense’s mission to revolutionize asset reliability and predictive maintenance. We look forward to a successful collaboration with the talented team at Prognostic Engineering as we work together to bring cutting-edge predictive maintenance solutions to new markets. #Petasense #PrognosticEngineering #ChannelPartnership #PredictiveMaintenance #Reliability #IndustrialIoT #OperationalExcellence #MachineLearning #AssetReliability #ProcessOptimization #Turkey

Air Handling Units (AHUs) are the heart of any HVAC system and are especially critical in manufacturing environments such as pharmaceuticals, electronics and biotechnology. In our latest article, we explore real-life case studies showcasing the advantages of Industrial IoT technologies for condition monitoring and predictive maintenance of AHUs. From detecting loose mounts to identifying clogged filters, uncover how predictive monitoring ensures optimal performance and reliability of HVAC machinery in critical environments. Dive into our latest case studies from leading pharmaceutical and biotechnology organizations to see the impact: https://lnkd.in/g97QizHz #FacilityManagement #IndustrialIoT #IIoT #PredictiveMaintenance #HVAC #IndustrialAutomation #DigitalTransformation

Petasense, a trailblazer in Industrial IoT, is expanding its footprint in continental Europe! We're actively seeking accomplished Manufacturer's Representatives and System Integrators across Europe to collaborate with us and deliver top-notch local support. If your company specializes in Condition Monitoring, Industrial Asset Reliability, or Industry 4.0 implementations, we want to hear from you! With cutting-edge wireless sensors and advanced cloud-based software, Petasense predicts machinery health and optimizes performance through Industrial IIoT technology and machine learning. Our solution empowers professionals in industries like Pharmaceuticals, Power Generation, Chemicals, Mining, and Discrete Manufacturing to remotely monitor machinery health, predict failures, and enhance operational efficiency. Reach out to [email protected] to explore partnership opportunities and be part of our journey towards industrial excellence. Learn more about Petasense at www.petasense.com #IndustrialIoT #IIoT #PredictiveMaintenance #PartnershipOpportunity #EuropeanInnovation

Join the Matrix Forum's upcoming webinar, focusing on "Smart Factories: Incorporating Vibration Monitoring in Industry 4.0 & Real-world Insights." Register here: https://lnkd.in/erBW8Yyi The webinar, set to occur online on January 30th from 11:30 AM to 12:30 PM, will feature Kuldeep Amarnath, CEO of Petasense, as the speaker. Raman Vaidyanathan, Senior Technical Advisor at Cyient, will be moderating the event. Discover the seamless integration of vibration monitoring in Industry 4.0 for enhanced operational efficiency. This is a valuable opportunity to explore the future of manufacturing. Ritu A Sharma T R Anand Arvind Tiwary Murlidhar S Sathyanarayana B V Geetha Ramamurthy Sandhya Vasudevan Ram Kumar Seshu Smita M. Suriya Kala Deepal Kothari