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.

Industry Event

Sensors Expo & Conference

Register now and save with Early Bird Rates – Limited Passes Available!

North America’s can’t-miss event dedicated to sensors, connectivity, and IoT will take place this June 22-24 in San Jose, CA. Attendees can make connections, collaborate with experts & peers, get insight into emerging technology & trends, and find new approaches to evergreen challenges. Use promo code FE100 for $100 off Conference Passes.

 

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

“Our moonwalk equivalent,” is how one National Instruments worker describes the colossal effort to provide hundreds of thousands of ventilators.

With pressure to keep costs low and achieve rapid scale-up, interdisciplinary teams are coming together to determine what features matter most.

While a number of semi makers saw their stock prices drop on Friday, the prior three days of market growth helped their outlook.