Tools Ease Maintenance Of IIoT Wireless Sensor System

Swift Sensors has added predictive maintenance tools for its Manufacturing Analytics Dashboard. The additional tools add trend analytics to key manufacturing metrics of compliance, utilization, maximum, minimum and average measured values monitored by the wireless sensor system. Eleven dashboard panels have been added for measuring analytic trends across multiple shifts.

 

With the dashboard panels, a trend line is calculated using the best fit line algorithm for the measurement data across each shift. The slope of the trend line represents the trend per shift, which indicates the overall tendency of the analytics value to increase or decrease by a specific amount from one shift to the next.

Free Newsletter

Like this article? Subscribe to FierceSensors!

The sensors industry is constantly changing as innovation runs the market’s trends. FierceSensors subscribers rely on our suite of newsletters as their must-read source for the latest news, developments and analysis impacting their world. Register today to get sensors news and updates delivered right to your inbox.

 

The trend analytics include a confidence percentage to indicate how well the trend line correlates with the historical data. A high confidence level indicates the trend is more likely to continue. Conversely, a low confidence level indicates the trend is not a reliable predictor of future values because the historical data is too chaotic. For more information, checkout Swift Sensors and/or call the company at 866-308-1340.

Read more on

Suggested Articles

SiC can make medical devices more perceptive, it can make electronics more energy-efficient, and it can help sensors perform in higher temperatures.

Components supplier CTS Corporation has acquired temperature sensor supplier Quality Thermistor, Inc. (QTI), for $75 million in cash.

Infrared (IR) sensors detect the electromagnetic radiation that humans perceive as heat.