MINING APPLICATION
Condition Monitoring to Ensure Reliability for Critical Grinding Equipment in Mining
Today’s mining operations must keep crucial milling assets online and running optimally, but variations in ore particle size, feed rate and moisture content, can lead to plugging, high vibration and machine bearing wear, and ultimately unscheduled stoppages and labor-intensive restarts. Emerson can help you achieve higher mill availability with advanced asset management and monitoring solutions to detect issues early and achieve a more consistent grind while reducing energy consumption.
Click to continue reading Condition Monitoring to Ensure Reliability for Critical Grinding Equipment in Mining
Recommended Products
AMS Asset Monitor manages pervasive sensing while providing prediction, protection and edge process monitoring capabilities, mounting at the asset to reduce cabling requirements and installation costs. It accommodates up to 12 CHARMs including Vibration CHARMs as well as DeltaV CHARMs for process inputs.
AMS Asset Monitor features powerful out-of-the-box software functionality via web browser for analysis, reporting, and alerting. This web-based thin client interface features an internal Logic Studio with pre-programmed application solutions for easy-to-understand analysis and alert reporting, and its Asset Studio interface delivers asset information to the user’s mobile device or desktop thin client.
Although no additional software is required to monitor assets with AMS Asset Monitor, it may be paired with
AMS Machine Workssoftware to deliver real-time updates on assets, perform deeper analysis (as compared to native thin client interface), and deploy from cloud architectures for ultimate scalability. Data from AMS Asset Monitor processed at the edge is provided to AMS Machine Works on demand, on alert or on schedule, and can include waveform data and status information for detailed analysis using the vibration analyzer tool in AMS Machine Works. AMS Asset Monitor can be configured to send overall asset health status and alerts to
AMS Opticsvia OPC UA.
- Wired or wireless Ethernet deployment for greater flexibility
- Intuitive browser-based user interface for easy setup and analysis
- Applications already onboard and with preset alert limits for faster setup
Channels
Up to 12 CHARMs
Collection Modes
Simultaneous or Independent
A/D Resolution / Dynamic Range
24 bit / Greater than 100dB
For some rotating assets and the processes associated with them, periodic route-based data collection is insufficient to indicate asset health. Online condition monitoring provides the frequency and types of data necessary to stay on top of developing issues during normal operations and to respond quickly to sudden changes during transient conditions. Emerson’s AMS 6500 Machinery Health Monitor is a versatile, scalable system that can be deployed in a variety of configurations to deliver online condition monitoring exactly as needed for the application.
- Designed for use in Hazardous rated areas: CSA C1D2 and ATEX/IECEx Z2
- Prediction assets without critical shutdown criteria
- Prediction layered on top of existing protection
Analog Channels
up to 44 (2 full ATG racks)
Tachometer Channels
Same as analog
Fmax / Sampling Rate
18.75kHz / 48k samples per second
The AMS Wireless Vibration Monitor delivers full vibration data over a self-organizing wireless mesh network. It provides rich information about machinery health for both operations and maintenance personnel. Overall vibration, PeakVue measurements and temperature readings can be easily integrated into any control system or plant historian, while diagnostic data can be displayed by AMS Device Manager and AMS Machine Works software with alert broadcast via the AMS Optics asset performance platform.
- Embedded prescriptive analytics deliver fast, accurate diagnostic information.
- Default settings provide the shortest path to actionable information. Experts can customize settings to fine tune results.
- Easy installation for fast deployment and ROI.
Sensor by Range and Frequency Response
Vibration Overall (Z): 80 g’s, 20,000 Hz; PeakVue Z – 80 g’s, sampling 51.2 kHz
Vibration Overall (X): 16g’s, 1000 Hz; Vibration Overall (Y): - 16 g’s, 1000 Hz
Temperature -40°C to +85°C
Vibration Overall (X): 16g’s, 1000 Hz; Vibration Overall (Y): - 16 g’s, 1000 Hz
Temperature -40°C to +85°C
Analysis Parameters
2 velocity bands (defaults 2-65 Hz and 65-300 Hz) and 2 acceleration bands (defaults 10-500 Hz and 500-1000 Hz)
Prescriptive Analytics
Bearing/Mechanical and Lubrication Severity; Calculated Machine Speed (RPM)
The AMS 2140 Machinery Health Analyzer takes vibration data and analysis measurements to the next level. It features simultaneous four-channel plus phase data collection and unique peak detection capabilities for the earliest indication of bearing and gearbox degradation. In addition to delivering faster data collection for less time in the field or more machines monitored, the AMS 2140 is ergonomically designed for comfortable, single hand operation all day long.
- Includes new PeakVue Plus technology for earliest and simplest indication of bearing degradation and severity
- One of the fastest vibration analyzers on the market
- Ergonomically designed to make long days in the field easier
Frequency Range
Dc to 10 Hz minimum, DC to 80 kHz maximum
Dimensions (h x l x w)
248 mm x 40 mm x 226 mm
Weight
1.79 kg (3.95 lbs)
You collect data from many rotating machines—from balance-of-plant assets like pumps, motors, gear boxes,and fans,to higher consequence assets like turbines, generatorsand compressors—but having a single location where the data comes together to identify bad actors quickly would be more efficient.
Asset management for industrial machinery is simplified in AMS Machine Workssoftware, where users can quickly begin identifying potential equipment issues with their monitored machinery. AMS Machine Works combines predictive maintenance techniques with comprehensive, patented analysis toolsto provide easy and accurate assessment of machinery health. This award-winning software ingresses measurement from compatible AMS machinery health data acquisition technology like AMS Wireless Vibration Monitor, AMS Asset Monitor, AMS 6500 ATG, and others.
-
Tutorial Videos
Installation | Get Started |App Switcher | VibApp | Network Device Module - Vibration analysis tools for diagnosis of machinery health
- Familiar tools in a more intuitive interface for faster implementation
Version
1.7
Operating System
Windows Server 2016 Datacenter
Windows Server 2016 Standard
Windows Server 2019 Datacenter
Windows Server 2019 Standard
Windows Server 2016 Standard
Windows Server 2019 Datacenter
Windows Server 2019 Standard
Processor
3.2 GHz, 8-core processor, Intel Xeon-scalable (Gold) or faster (recommended)
2.4 GHz, 4-core processor, Intel Xeon-scalable (Gold) or faster (minimum)
2.4 GHz, 4-core processor, Intel Xeon-scalable (Gold) or faster (minimum)
Expert Insights
15.9.2022
Jim Cahill
15.9.2022
Driving Reliability Improvements in Mining Operations
A 16-page ebook, Extract More from Your Operations, features the article, Improved Asset Management Increases Reliability. The article shares how data from asset monitoring systems can be analyzed to create insights for predictive maintenance, and certain assets can be upgraded to dramatically lower total cost of ownership.
read more
24.5.2022
Drew Mackley
24.5.2022
Four Best Practices for Condition Monitoring
It is easier than ever to store massive amounts of data. The cost of wireless sensing technologies has dropped dramatically, making it much easier to instrument every asset in the plant and ensure that no performance aberration goes unnoticed. However, bringing in all this data carries with it the risk of information floods. If data …
read more
27.4.2022
Drew Mackley
27.4.2022
Three Strategies to Drive Improved Reliability
A rapid decrease in the cost of sensing equipment has driven many reliability teams to implement even more automated condition monitoring across their facilities. A wide variety of new technologies are both easy to implement and full of robust features to increase visibility of asset health. There are many ways to plan and implement a …
read more
