An artificial intelligence algorithm created by University of Alabama in Huntsville (UAH) principal research scientist Dr. Rodrigo Teixeira greatly increases accuracy in diagnosing the health of complex mechanical systems.
“The ability to extract dependable and actionable information from the vibration of machines will allow businesses to keep their assets running for longer while spending far less in maintenance. Also, the investment to get there will be just software,” says Dr. Teixeira, who is the technical lead for the Health and Usage Monitoring Systems (HUMS) analytics project at UAH’s Reliability and Failure Analysis Laboratory (RFAL).
In blind tests using data coming from highly unpredictable and real-life situations, the algorithm consistently achieves over 90 percent accuracy, says Dr. Teixeira.
If you can detect a fault before it becomes serious, then you can plan ahead and reduce the time machinery spends idle in the shop. As we all know, time is money.
“This technology is in the trial stage. We are seeing how it performs in the field. If the results so far hold, we will build credibility and hopefully gain acceptance with our Dept. of Defense partners,” he says. “At the same time, we are expanding our client base to include the private sector. There, we believe we will have an even larger impact in the way they do business.”
Typical vibration analysis searches for anomalies in the vibration of machinery such as engines and gearboxes. These changes in vibration can signal wear and future maintenance needs long before the machinery fails.
“Any machine shakes and vibrates, and it will vibrate a little differently when there is something wrong, like a fault,” says Dr. Teixeira. “If you can detect a fault before it becomes serious, then you can plan ahead and reduce the time machinery spends idle in the shop. As we all know, time is money.”
The difficulty in extracting useful information from machinery vibration is the amount of random noise that exists in normal operating environments. Finding that useful information has been a “needle-in-a-haystack” problem. Current monitoring algorithms assume that vibrations are static and that signal and noise can be differentiated by frequency.
“The problem is that those assumptions never hold true in real life,” Dr. Teixeira says. “Instead, what we have done is to take an artificial intelligence algorithm and ‘teach’ it the basic principles of physics that govern faults in a vibrating environment.”
Dr. Teixeira’s approach has provided the U.S. Army with a new way of producing actionable information from helicopter HUMS data, says Chris Sautter, RFAL director for reliability.
“His approach, using machine learning, permits the analysis to look at the history of the data output rather than just a single flight. We train the algorithm much like you train your cell phone to understand your voice,” Sautter says. “When the particular component we are monitoring sees vibration signatures that no longer reflect the normal performance of a component, an alert is passed to the maintenance team.”
The RFAL algorithm fits easily into the Condition Based Maintenance paradigm that has been adopted across the Dept. of Defense and the commercial aviation sector, Sautter says. “Having this capability and the ability to enhance the maintenance policy of large fleet operators has presented UAH and the Reliability Lab with a host of new clients for our research capabilities.”
Read more: Scientist creates AI algorithm to monitor machinery health
The Latest on: Artificial intelligence algorithm
[google_news title=”” keyword=”artificial intelligence algorithm” num_posts=”10″ blurb_length=”0″ show_thumb=”left”]
via Google News
The Latest on: Artificial intelligence algorithm
- Why IT firms are treating artificial intelligence as a poisoned chaliceon May 6, 2024 at 6:00 am
Generative AI is now part of every IT major’s toolkit, but the red flags in their recent annual reports show they are yet to fully grasp the risks and rewards of this revolutionary technology.
- Exclusive-Stanford AI leader Fei-Fei Li building 'spatial intelligence' startupon May 6, 2024 at 5:49 am
By jumping into the startup world, Li is joining a race among the hottest AI companies to teach their algorithms common sense in ... must be established before AI models can achieve artificial general ...
- Artificial Intelligence is here to stay. Here's how universities across Greater Cincinnati are preparing students.on May 6, 2024 at 4:41 am
Northern Kentucky University is the first university in Kentucky to offer a minor on artificial intelligence. But there’s a wide array of AI class offerings in Greater Cincinnati.
- Using Artificial Intelligence To Think Outside The Boxon May 3, 2024 at 3:05 pm
The enablement comes in the form of “rapidly analyzing the innovation pipeline to discover windows of opportunities," McKnight continues. "Algorithms can collect and connect relevant data on ...
- Pope Francis calls for wisdom in the face of artificial intelligenceon May 3, 2024 at 11:14 am
As artificial intelligence becomes more prevalent, it is worth reflecting on the words of Pope Francis in his message for World Communications Day. The pope addressed how much this new intelligence ...
- How to use Artificial Intelligence to search for a new jobon May 3, 2024 at 6:49 am
In addition, Artificial Intelligence can even help you formulate a resignation letter once you have successfully found that new position. Through the panel of template letters provided by Rezi, you ...
- The evolution of photography in the age of artificial intelligenceon May 2, 2024 at 10:53 am
Sophisticated algorithms can be used to redefine what’s possible in photography — both when it comes to image capturing and post-processing. You’re probably already using AI technology for taking ...
- Artificial Intelligence Algorithms Are Not Clairvoyanton May 2, 2024 at 8:19 am
Artificial intelligence (AI) systems, and computers in general, possess several advantages over humans. They have virtually perfect recall and are not subject to fatigue, mood variations, or ...
- Random robots are more reliable: New AI algorithm for robots consistently outperforms state-of-the-art systemson May 2, 2024 at 2:00 am
Northwestern University engineers have developed a new artificial intelligence (AI) algorithm designed specifically for smart robotics. By helping robots rapidly and reliably learn complex skills, the ...
- Why Nvidia, Arm Holdings, and Other Artificial Intelligence (AI) Stocks Slumped on Wednesdayon May 1, 2024 at 1:43 pm
With that as a backdrop, semiconductor specialist Nvidia (NASDAQ: NVDA) slumped 3.1%, chip designer Arm Holdings (NASDAQ: ARM) dropped 2.9%, and memory and storage chipmaker Micron Technology (NASDAQ: ...
via Bing News