3 分鐘快速掌握設備健康狀態！從振動量測到 AI 故障診斷的實務應用
Say goodbye to the barriers of Predictive Maintenance (PdM)! Motors, pumps, and fans may appear to be operating normally—but could they still fail without warning and disrupt your production? In this webinar, we’ll show you how the lightweight Portable Diagnosis Kit enables equipment health checks in just 3 minutes, with minimal risk and no need for costly infrastructure installation. AI-powered analysis then helps identify potential anomalies and hidden issues before they lead to unexpected failures.
💡 Why Is Predictive Maintenance a Hot Topic in Manufacturing, Yet So Difficult to Implement?
As Industry 4.0 continues to advance, many facility managers and equipment maintenance leaders have recognized the importance of Predictive Maintenance (PdM). However, when it comes to actual implementation, companies often face three major barriers:
High barriers to implementing large-scale systems: Initial evaluation can be time-consuming and costly, while complex wiring and network configuration add further challenges and increase the risks involved in implementation.
Difficult to demonstrate ROI before purchase: Without first collecting data and validating the benefits on actual equipment in your own facility, it can be difficult to justify a significant investment to management.
採購前難以證明 ROI：尚未在自家實際運行的設備上記錄並驗證效益前，很難向公司爭取高額預算。
「設備維護，其實不需要一開始就投資龐大的系統工程！」
⚡ Portable Diagnosis Kit: The Ideal Entry Point to Intelligent Equipment Health Monitoring
To help companies take the first step toward seamless adoption, Prognosis Technology has introduced the **Portable Diagnosis Kit (Intelligent Inspection Kit)**. More than just a portable inspection tool, it serves as a practical solution for companies taking their first step toward AI-powered equipment diagnostics.
Magnetic Mounting, Instant Measurement: No modifications to existing infrastructure or wiring are required. Install the sensor and collect data within seconds.
AI-Powered Analysis: Say goodbye to complex spectrum analysis. AI automatically transforms vibration signals into intuitive fault diagnosis reports and actionable maintenance recommendations.
Screen First, Focus Where It Matters: Quickly identify high-risk equipment and allocate resources precisely to critical machines that require long-term monitoring.
📅 Event & Registration Information
Event Topic: Get a Quick 3-Minute Overview of Equipment Health — Practical Applications from Vibration Measurement to AI-Powered Fault Diagnosis
Date & Time: September 16, 2026 (Wednesday), 2:00–2:30 PM
Format: Online Live Webinar (Viewing link will be sent after registration)
Who Should Attend: Facility Managers, Equipment Maintenance Engineers, Production & Operations Managers, Automation Professionals, and System Integrators (SIs)
Registration Fee: Free (Limited spots available; registration closes when capacity is reached)