Remove predictive-maintenance
article thumbnail

Accelerating Insight and Uptime: Predictive Maintenance

Cloudera

Historically, maintenance has been driven by a preventative schedule. Today, preventative maintenance, where actions are performed regardless of actual condition, is giving way to Predictive, or Condition-Based, maintenance, where actions are based on actual, real-time insights into operating conditions.

article thumbnail

Using Cloudera Machine Learning to Build a Predictive Maintenance Model for Jet Engines

Cloudera

Running a large commercial airline requires the complex management of critical components, including fuel futures contracts, aircraft maintenance and customer expectations. Additionally, airlines ensure availability and reliability of their fleet by leveraging maintenance, overhaul and repair (MRO) organizations, such as Lufthansa Technik. .

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top 10+ IoT Research Topics for 2024 [With Source Code]

Knowledge Hut

In this blog, we will discuss the top 10 Internet of Things research topics and ideas for 2024. Some of the popular industrial IoT projects include predictive maintenance, asset tracking, and supply chain optimization. This can include features such as real-time tracking, geofencing, and alert notifications.

Coding 98
article thumbnail

Achieving Trusted AI in Manufacturing

Cloudera

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail.

article thumbnail

Don’t Blink: You’ll Miss Something Amazing!

Cloudera

For example: In manufacturing, fast-moving data provides the only way to detect — or even predict and prevent — defects in real time before they propagate across an entire production cycle. We can move to predictive fraud and breach prevention, greatly increasing the protection of customer data and financial assets.

article thumbnail

Data Engineering Weekly #171

Data Engineering Weekly

[link] Gradient Flow: Learning from the Past - Comparing the Hype Cycles of Big Data and GenAI The blogs compare the hype cycle of Big Data with Gen AI. The blog narrates the initial hype of Big Data, followed by talent shortages and lead time to build production applications. Ready to give DoubleCloud a try?

article thumbnail

GenAI in Automotive: From R&D to On-Road Implementation

RandomTrees

It enables the exploration of concepts such as autonomous driving, predictive maintenance, and personalized user experiences. Also, AI-driven predictive maintenance systems help in identifying likely problems before they arise. It also reduces downtime and maintenance costs.