An end-quality assessment system for electronically commutated motors based on evidential reasoning

► The paper presents a end-quality assessment module. ► The quality assessment is based on specially designed set of features the reflect the most common faults. ► The features are extracted by specific signal processing methods. ► The module allows incorporation of experts knowledge, thus circumventing the training process. Automatic end-quality assessment is a mean that helps reaching zero-fault products at the end of the manufacturing process. In this paper we present a system for assessing the quality of electronically commutated motors. The system consists of two major parts: feature extraction and overall quality assessment. The feature extraction part consists of signal processing algorithms tailored for mechanical fault detection. The quality assessment part, aimed for fault isolation and final quality decision, employs evidential reasoning for multi-attribute decision analysis. A prototype version of the system is validated on a test batch of 130 electronically commutated motors, demonstrating high diagnostic resolution and accuracy.