Wireless Machine Condition Monitoring
![]() |
||
| In a world-wide competitive marketplace, reliability, uptime, and operational cost of equipment can significantly impact the competitive posture of any manufacturing facility. To optimize maintenance of machinery and therefore the machine’s reliability and utilization, monitoring health indicators such as mechanical vibration and power factor is a widely accepted practice. Now with the use of wireless vibration and power monitoring devices, reliability engineers are able to overcome historic cost barriers. | ||
| Wireless Vibration DAQ Hardware | Sound & Vibration Measurement Suite | ||||||||
![]() |
Explore IEEE 802.11g and Ethernet DAQ for accelerometer and microphone measurements | ![]() |
Learn about configuration-based analysis and data logging with NI Sound and Vibration Assistant | ||||||
| View pricing & specs » | Take a test drive » | ||||||||
Why Wireless? Why NI?
Greatly reduce installation costs by employing wireless vibration, electrical power, and general data acquisition. These savings come in the form of cabling costs, conduit, extended machine downtimes for installation, and, perhaps most important, labor costs. For example, power plant fans may be located upwards of 500 feet from the control room. With as many as 10 sensors on a machine, total cabling efforts can exceed miles of conduit and work. Further, broken cables create additional maintenance issues simply to keep the wired system connected to the control and plant engineering rooms.
National Instruments offers a complete wireless system solution, including wireless data acquisition, vibration sensors, signal conditioning for vibration sensors, and signal processing software to aid in machine degradation tracking and diagnostics. NI wireless solutions are based on 2.4 GHz spread spectrum technology, which has proven to be the most effective technology in noise plant environments. In addition, by optimizing 802.11g technology over other lower transmission rate technologies, higher bandwidth data is available for more complete online monitoring and diagnostics real-time applications. Finally, NI provides the latest in wireless security to keep your measurement data confidential.
Wireless Machine Condition Monitoring Webcast
Wireless Security Primer for Data Acquisition
Completing the Wireless Machine Condition Monitoring System
NI has a wide range of signal processing tools, including the Sound and Vibration Assistant and Advanced Signal Processing tools to assist in analyzing time waveforms to identify machine health features. These tools give the machinery reliability engineer and analyst the most powerful combination of tools available.
Combining the extensive experience of NI in data acquisition and signal processing with wireless technology, the plant teams have a cost competitive and open solution they can rely on for years to come.
Machine Condition Monitoring Technical Library
NI Sound and Vibration Home Page
Case Studies and Additional References
Case Studies in Wireless Data Acquisition for Condition Measurements
Monitoring Electromechanical Shovels for Open-Pit Mining
NI LabVIEW and CompactRIO Keep Power Plants Online
Wireless Data Acquisition Improves Paper Mill
Machine Condition Monitoring Solutions Partners:
Other Wireless Monitoring Resources:
Learn More about NI Wi-Fi Data Acquisition
Industrial Wireless Access Points
CompactRIO Industrial Monitoring Platform
Reader Comments | Submit a comment »
Legal
This tutorial (this "tutorial") was developed by National Instruments ("NI"). Although technical support of this tutorial may be made available by National Instruments, the content in this tutorial may not be completely tested and verified, and NI does not guarantee its quality in any way or that NI will continue to support this content with each new revision of related products and drivers. THIS TUTORIAL IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND AND SUBJECT TO CERTAIN RESTRICTIONS AS MORE SPECIFICALLY SET FORTH IN NI.COM'S TERMS OF USE (http://ni.com/legal/termsofuse/unitedstates/us/).



