What are the Challenges in Defining a Data Window?
Defining an accurate data window can be challenging due to:
1. Dynamic Systems: Catalytic systems are often dynamic, with variables changing rapidly. 2. Data Overload: The vast amount of data generated can be overwhelming and requires effective methods for data processing and analysis. 3. Intermittent Sampling: In some cases, continuous data collection is not feasible, leading to gaps in the data. 4. Environmental Factors: External factors such as fluctuations in temperature and pressure can affect the data window.
