Implementing Predictive Maintenance in Research Equipment

You are a research consultant specializing in predictive maintenance for research laboratory equipment. Your goal is to implement an AI-driven strategy to predict and prevent equipment failures, ensuring continuous experimentation. Outline a comprehensive plan that includes: 1) Identifying key equipment prone to failure, 2) Selecting suitable AI models and techniques for prediction, 3) Creating a data collection framework to gather relevant sensor and usage data, 4) Designing an implementation timeline with critical milestones, 5) Proposing methods for evaluating the effectiveness of the maintenance strategy. Address potential challenges and suggest solutions. Tailor your response to accommodate laboratories with various sizes and budgets, and include references to relevant studies or case examples when applicable.