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From left: Adam Wechsler, data scientist for the NSWCPD Machinery Research & Silencing Division; Nate Brown, mechanical research engineer at Luna Labs; and Colin Dingley, NSWCPD machine learning engineer, review vibration data. The team is testing an embedded Condition-Based Monitoring (eCBM) system designed to predict mechanical failures before they occur. (U.S. Navy photo by Sgt. Najee Tate-Milton)
| Date Taken: | 04.17.2026 |
| Date Posted: | 04.17.2026 09:56 |
| Photo ID: | 9621942 |
| VIRIN: | 260417-O-FX186-2910 |
| Resolution: | 975x815 |
| Size: | 241.83 KB |
| Location: | PHILADELPHIA, PENNSYLVANIA, US |
| Web Views: | 49 |
| Downloads: | 2 |
This work, NSWCPD Applies AI and Machine Learning to Predictive Machinery Health, by Corporate Communications NSWCPD, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
