Predictive Maintenance in IIoT: Leveraging Time Series Data for Equipment Longevity
The industrial Internet of Things (IIoT) helps bind machines, sensors, and systems together. This IIoT World article, sponsored by InfluxData, examines how time series databases support predictive maintenance in industrial IoT environments. They form a network…
Modernizing Data Historians for Smarter Industrial Operations
A new technical paper is now available, offering critical insights for industries seeking to modernize their data historians and improve overall operational efficiency. This paper explores the evolving role of data historians in the era of…
Managing Highly Contextualized Data for IIoT
Have you ever wondered how industries using smart devices handle tons of unique data loading on their server? High cardinality data allows for detailed tracking and monitoring of each sensor, machine, and device in real-time. Finding patterns…
Maximizing IIoT Impact with Open Data, AI, and Advanced Analytics: A Comprehensive Guide
The Industrial Internet of Things (IIoT) is revolutionizing industries like manufacturing, energy, and logistics by creating smarter, interconnected systems that elevate productivity and efficiency. With IIoT, machines, systems, and sensors are linked in real time, streamlining industrial automation…
Enhancing Predictive Maintenance at Nordic Sugar: Insights into Steam Dryer Optimization
Nordic Sugar, a key player in the sugar production industry and a part of the Nordzucker Group, has been pioneering innovative maintenance strategies at its Nakskov plant in Denmark. As part of their continuous improvement efforts,…
Enhancing Industrial IoT with Predictive Analytics
Predictive analytics are revolutionizing how Industrial IoT (IIoT) businesses manage and maintain their equipment. Predictive maintenance, a key application of predictive analytics, is pivotal in preempting failures and enhancing operational efficiency. By leveraging advanced data pipelines…
Transition from Preventive to Predictive Maintenance Using Time Series Data with MAJiK Visual Factory and InfluxDB
MAJiK Systems creates software that helps manufacturing and industrial engineering companies improve their factory operations using data-driven manufacturing methods. The company designs a full suite of Visual Factory tools that use data from the machines themselves…
Why You Need a Time Series Database for Predictive Maintenance
In the industrial sector, unplanned downtime can lead to significant financial losses. Predictive maintenance offers a solution to this problem by identifying potential issues before they cause disruptions.One crucial component of an effective predictive maintenance system…
Elevating Predictive Maintenance: The Transformative Impact of IIoT
In the bustling arena of the industrial landscape, the repercussions of unplanned downtime resonate deeply. According to a study by Aberdeen Research, unplanned downtime can cost a company as much as $260,000 an hour. Such challenges…
Is predictive maintenance at a dead end?
Predictive maintenance has become a standard phrase in the equipment business and it is taking hold with OEMs. However, maintenance teams are not seeing much use for it. For them, “predictive maintenance is like chasing one’s…