DINGO: Asset Health Management That Prevents Equipment Failures #377
As mining operations become more connected, maintenance teams have access to more equipment data than ever before. The challenge is no longer collecting information—it's turning that data into timely, practical decisions that improve equipment reliability, reduce unplanned downtime, and optimize maintenance resources.
In this Mining NOW episode, host Jerrod Downey is joined by Craig Banks, Jean-Phillip Bouchard, and Eli Alston from DINGO to discuss how asset health management and condition monitoring technologies are helping mining companies modernize maintenance strategies.
The conversation explores how operational data—including telemetry, oil analysis, vibration monitoring, inspection results, and ERP maintenance records—can be consolidated into a unified platform to provide clearer insight into equipment condition. Rather than relying solely on fixed maintenance intervals, the discussion examines how condition-based approaches can help prioritize maintenance activities based on actual asset health.
Additional topics include common challenges with implementing reliability programs, the role of AI in supporting maintenance planning, and the importance of combining advanced analytics with engineering expertise to improve maintenance outcomes. The episode also looks at strategies for extending component life, reducing maintenance costs, and improving equipment availability across mining operations.
For professionals involved in maintenance, reliability engineering, asset management, and digital mining, this episode offers valuable insight into how data-driven maintenance strategies are helping mining companies improve operational performance. Follow Mining NOW for more conversations on the technologies and innovations shaping the future of mining maintenance.
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