Not all wireless technologies are created equal, especially in industrial condition monitoring. Range, power consumption, network reliability, and data volume all determine whether a wireless solution will work effectively in an industrial environment. Choosing the wrong technology can lead to higher infrastructure costs, weak signal coverage, poor battery life, or even gaps in critical machine data. Our latest blog explores the strengths and trade-offs of different wireless protocols, including WiFi, LoRa, Cellular, Bluetooth, ISA100, and WirelessHART. Understanding these differences is key to making the right decision for long-term reliability and scalability. Read the full article here: https://lnkd.in/g57rehWx What wireless technologies has your team found most effective for condition monitoring? Let us know in the comments. #IIoT #PredictiveMaintenance #ConditionMonitoring #IndustrialIoT #AssetReliability #Digitization #Petasense
Petasense
无线服务
San Jose,CA 3,419 位关注者
Petasense helps industrial companies monitor machine health using Industrial IoT and machine learning analytics.
关于我们
Founded with a vision of making industrial machines smarter, Petasense is an Industrial IoT startup based in Silicon Valley. The company offers an end-to-end solution – comprised of a patent-pending wireless vibration sensor, cloud software and machine learning analytics – that helps with asset reliability and predictive maintenance. Customers are able to monitor, assess and predict the health of their critical machines in real-time. This helps them reduce unplanned downtime and lower repair costs. Petasense's clients include industry leaders like JLL, C&W Services, Silicon Valley Power and Stanford University. Petasense is backed by True Ventures, Felicis Ventures and top angel investors. The company is founded by serial entrepreneurs, Abhinav Khushraj and Arun Santhebennur, who have 25 years of combined experience in building enterprise companies, with degrees from MIT and IIT. To learn more about Petasense, visit www.petasense.com.
- 网站
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https://www.petasense.com
Petasense的外部链接
- 所属行业
- 无线服务
- 规模
- 11-50 人
- 总部
- San Jose,CA
- 类型
- 私人持股
- 创立
- 2014
- 领域
- Internet of Things、Wireless Monitoring、Predictive Maintenance、Predictive Analytics、Machine Learning、Big Data、Vibration Sensors、Industrial IoT、IIoT、Condition Monitoring和Asset Reliability
地点
Petasense员工
动态
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In the pharmaceutical industry, maintaining stable environmental conditions is essential for product quality and regulatory compliance. In one recent case, a large pharmaceutical manufacturer discovered multiple problematic Air Handling Units (AHUs) within one week of deploying wireless vibration monitoring. Initially, the site believed these fans had another two years before repairs were necessary. However, the data revealed a different story. The team detected clear bearing defect frequencies in the demodulated spectrum and distinct pulse impacts in the vibration waveform, confirming that the bearings were beginning to fail. Armed with real-time insights, the team decided to schedule the replacements sooner, preventing potential breakdowns and unplanned downtime. This example highlights the value of online condition monitoring in guiding more proactive maintenance decisions—saving time, reducing costs, and protecting critical operations. How are your teams leveraging data-driven insights to optimize your maintenance strategies? #IIoT #PredictiveMaintenance #ConditionMonitoring #PharmaManufacturing #AssetReliability #Petasense
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Understanding machine health shouldn’t be complicated. Providing easy-to-understand indicators, like the Petasense Asset Health Score (AHS), helps transform complex data into a single, meaningful metric, allowing teams to identify issues and take action before they escalate. Key Advantages of AHS: ?? Anomaly Detection: Detects subtle changes in equipment condition, even when primary parameters, such as overall vibration, appear stable. ?? Holistic Assessment: Consolidates multiple variables into one score, offering a comprehensive view of asset health. ?? Failure Mode Clarity: Distinguishes between gradual and sudden deterioration, guiding more targeted maintenance decisions. As seen in the examples below, the AHS reveals clear patterns of declining machine health—often visible over several months. Having this visibility empowers teams to plan maintenance activities proactively, avoiding sudden failures and costly downtime. How is your organization making asset health data more actionable? #IIoT #PredictiveMaintenance #ConditionMonitoring #VibrationAnalysis #AssetReliability #Petasense
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Early detection is key to preventing equipment failure, and IIoT-based condition monitoring makes this possible. Recently, a lube oil cooler fan started showing signs of increased friction and wear. Vibration alarms from the wireless monitoring system alerted the team as soon as the fault was detected, allowing them to schedule maintenance before the issue impacted operations. The site team decided to replace the assembly, which resulted in a significant improvement in vibration levels post-maintenance. This proactive approach not only prevented major damage but also avoided costly downtime, demonstrating the value of IIoT in safeguarding critical equipment. How is your team using IIoT to stay ahead of potential issues? Let us know in the comments. ?? #IIoT #PredictiveMaintenance #ConditionMonitoring #VibrationAnalysis #AssetReliability #Petasense
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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
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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
??October Episode Alert | The Tech Icon #Podcast: The Fascinating Story of Abhinav Khushraj, the former CEO & Co-Founder of Petasense From the narrow streets of Chennai to the heart of Silicon Valley, Abhinav used "education" to live his American?dream. Today, he works at the cutting edge of #AI as the Head of Product at Google (BigQuery). Outside of work, he enjoys being a fencing parent to his son, playing with his daughter, and learning Spanish on Duolingo. Packed with practical tips for students and #entrepreneurs, in this installment of The Tech Icon, you'll learn about: ???Abhinav's American dream and how he got there ???The importance of building technology for impact rather than for technology sake ???How to maximize your flash of time on planet Earth and have fun along the way Website: https://lnkd.in/gX_hcwn3 Spotify: https://lnkd.in/gZT86rYM Apple Podcast: https://lnkd.in/gvJme5W2 YouTube (also linked in comments): https://lnkd.in/gkgRG52V For the full video episode, please click on the link above and don't forget to subscribe to The Tech Icon YouTube channel. Let us know what you think, thank you! CC: Aditya Singla
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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
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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
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???????????? ?????? ?????????? ???? ?????????????????????? ???????????????????? ?????? ???????????????????? ?????????????? (????????) 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
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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