Multi Sensor Data Fusion for High Speed Machining

Vallejo, Antonio J.; Ramírez, Miguel Pérez; Alique, José R.; Garza, Luis E.

doi:10.1007/978-3-540-76631-5_111

Cited by 3 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As food safety issues related to the health problems of the people, so the countries in the world for food safety issues to maintain a high degree of attention. Relevant authorities of countries with strict food safety management standard and is constantly expanding food safety testing program, but also a corresponding increase in the relevant safety standards, to develop a more rigorous testing eligibility criteria (Vallejo Jr. et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Research of Food Safety Detection Based on Multi-sensor Data Fusion Technology

Zhang¹,

Liu²

2015

AJFST

View full text Add to dashboard Cite

This study presents a method for food safety testing based on multi-sensor data fusion, mainly to deal with food safety testing to detect the most common substances, these materials include: formaldehyde, heavy metals lead and cadmium and organ phosphorus and carbamate pesticides. Because it is more sensors, so the detection system will generate a lot of signals. Limited ability of the sensor output signals, these signals are often relatively weak and because the system will be applied to on-site testing and site environment is complex signal is easily influenced by many factors. System design related circuit, using a variety of chips, purify and amplify the signal processing of analog to digital conversion. The final article, but also on data fusion technology relevant circumstances were introduced to the relevant algorithm analysis shows. The experiment data shows that the system has a wide detection range and the configuration is simple with low detection cost which shows the method prompted can meet the engineering requirements of food safety detection.

show abstract

Section: Introductionmentioning

confidence: 99%