Featured Research

from universities, journals, and other organizations

Information technology: Improving the health of machines

Date:
March 13, 2013
Source:
The Agency for Science, Technology and Research (A*STAR)
Summary:
Electronic engineers have developed and successfully tested a management system that increases the efficiency of wireless sensor networks for monitoring machine health.

A novel adaptive management system boosts the efficiency of wireless sensor networks that monitor surrounding environments.

Electronic engineers in Singapore have developed and successfully tested a management system that increases the efficiency of wireless sensor networks for monitoring machine health. The new system, known as an adaptive classification system (ACS), reduces the power consumption of individual sensors and increases their lifespan, while also decreasing network traffic and data storage requirements.

The ACS also achieves more robust results in terms of diagnosis of machine problems and prognosis of performance. "Other applications include monitoring patient health, disaster monitoring systems, such as fire alarms, and environmental monitoring for chemical plant accidents, air and water quality," says Minh Nhut Nguyen of the A*STAR Institute for Infocomm Research, who led the research team.

Wireless sensors are now so inexpensive and flexible that their application in monitoring systems is widespread. Because of the environments in which they are deployed, sensors increasingly require their own portable power source, typically a battery, which means they have a limited lifespan. Any way of reducing the amount of power the sensors draw would increase their lifespan, decrease the need to replace them and therefore reduce costs, Nguyen explains.

Reducing sensor sampling rates to a practical minimum is one way to lower power consumption; this can be achieved by halting monitoring when a machine is not operating. Typically, a machine functioning smoothly demands a lower and coarser sampling rate than one that needs attention. Nguyen and his co- workers therefore developed their ACS along these lines.

Importantly, it incorporates an adaptive system of nested sensors. Some of the ACS sensors sample particular parameters at a low rate to provide data for a model whose purpose is simply to trigger more intensive sampling of other sensors when a potential problem is detected.

In addition, the system utilizes a set of models that is geared to sensors sampling at a particular rate. The ACS also integrates several different methods of classifying whether particular data patterns are of concern such that they require higher levels of sampling. Decisions are therefore made on the basis of multiple classifications. This not only increases the robustness of the system, but also means that it can be trained to detect problems using a minimal amount of data.

Nguyen and his team tested the ACS using a machinery fault simulator, a machine in which key components, such as bearings, could be replaced by faulty or worn ones. Encouragingly, on average the ACS outperformed current models in these tests.


Story Source:

The above story is based on materials provided by The Agency for Science, Technology and Research (A*STAR). Note: Materials may be edited for content and length.


Journal Reference:

  1. Minh Nhut Nguyen, Chunyu Bao, Kar Leong Tew, Sintiani Dewi Teddy, Xiao-Li Li. Ensemble Based Real-Time Adaptive Classification System for Intelligent Sensing Machine Diagnostics. IEEE Transactions on Reliability, 2012; 61 (2): 303 DOI: 10.1109/TR.2012.2194352

Cite This Page:

The Agency for Science, Technology and Research (A*STAR). "Information technology: Improving the health of machines." ScienceDaily. ScienceDaily, 13 March 2013. <www.sciencedaily.com/releases/2013/03/130313111700.htm>.
The Agency for Science, Technology and Research (A*STAR). (2013, March 13). Information technology: Improving the health of machines. ScienceDaily. Retrieved October 1, 2014 from www.sciencedaily.com/releases/2013/03/130313111700.htm
The Agency for Science, Technology and Research (A*STAR). "Information technology: Improving the health of machines." ScienceDaily. www.sciencedaily.com/releases/2013/03/130313111700.htm (accessed October 1, 2014).

Share This



More Matter & Energy News

Wednesday, October 1, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Argentina's Tax Evaders Detected, Hunted Down by Drones

Argentina's Tax Evaders Detected, Hunted Down by Drones

AFP (Sep. 30, 2014) Argentina doesn't only have Lionel Messi the footballer, it has now also acquired "Mesi" the drone system which monitors undeclared mansions, swimming pools and soy fields to curb tax evasion in the country. Duration: 01:18 Video provided by AFP
Powered by NewsLook.com
Do Video Games Trump Brain Training For Cognitive Boosts?

Do Video Games Trump Brain Training For Cognitive Boosts?

Newsy (Sep. 29, 2014) More and more studies are showing positive benefits to playing video games, but the jury is still out on brain training programs. Video provided by Newsy
Powered by NewsLook.com
CERN Celebrates 60 Years of Science

CERN Celebrates 60 Years of Science

Reuters - Business Video Online (Sep. 29, 2014) CERN, the European Organisation for Nuclear Research, celebrates 60 years of bringing nations together through science. As Joanna Partridge reports from inside the famous science centre it's also planning to turn the Large Hadron Collider particle accelerator back on after an upgrade. Video provided by Reuters
Powered by NewsLook.com
This 'Invisibility Cloak' Is Simpler Than Most

This 'Invisibility Cloak' Is Simpler Than Most

Newsy (Sep. 28, 2014) Researchers from the University of Rochester have created a type of invisibility cloak with simple focal lenses. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Space & Time

Matter & Energy

Computers & Math

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins