『Trend Detection Podcast』のカバーアート

Trend Detection Podcast

Trend Detection Podcast

著者： Siemens
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概要

 Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.Listen to gain insights from our bi-weekly live events and interviews with industry experts about all things predictive maintenance, IoT and digital transformation.Please subscribe via your selected podcast provider to be notified about future episodes.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenanceDISCLAIMER: Unnecessary maintenance," "wasteful activities," or "over-maintenance" only exist when they are unrelated to safety and safety of personnel. Always verify if the maintenance intervals are safety-related; if so, please contact your manufacturer or consult your operating manual.Siemens AG
エピソード
  • Applying AI to Predictive Maintenance at Scale: A Senseye Perspective

    Applying AI to Predictive Maintenance at Scale: A Senseye Perspective
    2026/02/11
    Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – which gives you visibility and insights into all your assets, from single machines to full plants to help you reduce downtime, increase knowledge sharing and accelerate digital transformation across your organization.In this special episode with David Humphrey, Director of Research, ARC Europe, we discuss:How predictive maintenance has evolved from scheduled inspections to data‑driven decision‑making using connected machine data.What Senseye Predictive Maintenance is, how it works as a cloud‑based analytics application, and where it fits within Siemens’ broader asset and maintenance portfolio.How machine learning and generative AI are used to detect abnormal asset behavior and translate complex analytics into actionable maintenance guidance.How historical machine data, maintenance records, and technical documentation are leveraged to speed diagnosis and reduce dependency on individual expert knowledge.Why scalability, usability, and organizational adoption are critical success factors for predictive maintenance programs operating at hundreds or thousands of assets.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance
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    23 分
  • Wireless Multisensors Meet Predictive Maintenance - with Niklas Frey

    Wireless Multisensors Meet Predictive Maintenance - with Niklas Frey
    2026/02/04
    Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – which gives you visibility and insights into all your assets, from single machines to full plants to help you reduce downtime, increase knowledge sharing and accelerate digital transformation across your organization.This episode covers:How the SITRANS MS200 wireless multisensor measures vibration, temperature, and magnetic fields to enable condition monitoring on rotating and vibrating assets.Why retrofittable, battery-powered sensors are key to bringing predictive maintenance to assets that previously had no condition data.How the CC220 gateway integrates seamlessly with Senseye Predictive Maintenance, supporting both stand‑alone deployments and existing IT infrastructures via MQTT.What makes the solution highly flexible and scalable, from single gateways to plant‑wide sensor networks without complex IT overhead.Where the MS200 roadmap is heading, including configurable measurement cycles, on‑sensor KPI calculation, improved battery life, and expanded frequency ranges for future applications.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance
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    26 分
  • Creative Thinking in Predictive Maintenance: A Conversation with Jordan Walters

    Creative Thinking in Predictive Maintenance: A Conversation with Jordan Walters
    2026/01/28
    Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – which gives you visibility and insights into all your assets, from single machines to full plants to help you reduce downtime, increase knowledge sharing and accelerate digital transformation across your organization.This episode covers:The Essence of Creativity in Engineering: How creative thinking is crucial for innovating solutions to complex problems in predictive maintenance (PM), moving beyond established methods to develop bespoke approaches for each customer.Unconventional Problem-Solving with Existing Tools: Discover how seemingly limited data, like temperature readings from electric car charger pins, can be creatively manipulated using features like "derived measures" to detect degradation, even when traditional sensor deployment isn't feasible.Bridging the Gap: From Industrial Practice to Education: Learn about the "Connected Curriculum" initiative, which brings Senseye to university students, and the creative adaptations needed to teach real-world data challenges (like noisy or incomplete data) and PM principles in an academic setting.Debunking Misconceptions about AI and Data: Understand that perfect data is a myth and that effective AI in PM, like Senseye, thrives on curated, clean data focused on specific condition indicators, rather than a "big data" dump, to provide nuanced and accurate insights.AI as an Enabler for Human Creativity: Explore how AI serves as a powerful tool to support and amplify human ingenuity in engineering, emphasizing the importance of asking questions, providing context, and fostering a collaborative environment to drive innovation and personal growth in the field.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance
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    31 分
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