nsors and process variables.</p><p>The dataset consists of time series data under different injected faults scenarios used to evaluate and compare the performance of monitoring algorithms. The data includes both normal and faulty process operation to facilitate identification and classification of abnormal conditions. Due to the complexity and dynamic nature of the simulated process, this dataset is valuable for machine learning and statistical methods research in process monitoring and fault detection.</p>