In today’s rapidly evolving landscape of sensor technology, maintenance and reliability
professionals face a critical decision: stick with the proven methods of traditional on-site
vibration analysis, or embrace the continuous, real-time insights offered by modern
wireless sensor solutions. This presentation dissects both methodologies, providing a
balanced, in-depth analysis that empowers you to make informed decisions tailored to
your operational needs. By blending real-world scenarios with robust case study data,
you’ll gain the clarity necessary to navigate this complex technological terrain.

Practical Takeaways: By the end of this session, you will be equipped with actionable
strategies to:
• Evaluate and select the optimal condition monitoring tools for your specific
applications.
• Seamlessly integrate continuous wireless monitoring with traditional measurement
techniques.
• Maximize your ROI by aligning technology investments with operational realities.
• Overcome challenges related to data management and sensor deployment,
ensuring reliability and efficiency.

Andy has 19 years of experience in the industrial equipment health monitoring industry, with a particular emphasis on condition monitoring and predictive maintenance (PdM). His expertise is bolstered by certifications including CMRP from SMRP, Level II vibration analysis from the Vibration Institute, and a recent certification in Convolutional Neural Networks with TensorFlow. Over the past decade, Andy has increasingly focused on integrating AI-driven solutions into IIOT devices and software platforms, playing a key role in advancing Industry 4.0 within industrial operations, maintenance, and automation.