Single feature to achieve gas recognition: Humidity interference suppression strategy based on temperature modulation and principal component linear discriminant analysis

• Published in: Sensors and actuators. B, Chemical Vol. 423; p. 136842
• Main Authors: Yuan, Zhenyu, Sun, Hao, Ji, Hanyang, Meng, Fanli
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.01.2025
• Subjects: Humidity interference; Metal oxide semiconductor gas sensor; Principal component linear discriminant analysis; Temperature modulation; Humidity interference; Principal component linear discriminant analysis; Temperature modulation; Metal oxide semiconductor gas sensor
• DOI: 10.1016/j.snb.2024.136842
• ISSN: 0925-4005

Metal oxide semiconductor (MOS) sensors have been broadly employed for gas detection. However, the distinctive chemical detection principle of MOS sensors renders them susceptible to interference by humidity. This paper proposes a novel method for suppressing humidity interference. This method possesses advantages, including rapid recognition, low power consumption, and the capability to achieve recognition using a single feature. Temperature modulation technology was used to record the sensor's resistance variation, and the response features of the obtained dynamic response signal are affected by both humidity and the measured gas. The suppression of humidity interference is achieved through the investigation of the response features of humidity and the measured gas. The response features of humidity and gas are amplified by column normalization. Principal Component Linear Discriminant Analysis (PC-LDA) is utilized to acquire humidity and gas information within data. Using ethanol as the primary experimental subject, suppression of humidity interference is achieved through a single feature (PC-LD2). Quantitative recognition of relative humidity (RH) can be achieved using PC-LD1. Multiple types of waveform and sensor were used to demonstrate the generalization of this method. •The principal component linear discriminant analysis was first used to suppress humidity interference.•Suppression of humidity interference was achieved through a single feature.•The response features of humidity and gas were amplified by column-wise normalization.