Outlier Curve Detection

Outlier Curve Detection, Total:42 items.

The international standard classification for "Outlier Curve Detection" includes: Occupational safety. Industrial hygiene , Diagnostic equipment , Environmental protection .

The Chinese standard classification for "Outlier Curve Detection" includes: School sanitation , Drug testing instrument , Medical apparatus and devices in general .

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国家质量监督检验检疫总局

• SN/T 4727-2016 Detection and identification of Nacobbus aberrans

General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China

• GB/T 16133-2014 Screening of spinal curvature abnormality of children and adolescents

Sichuan Provincial Standard of the People's Republic of China

• DB51/T 2270-2016 PCR specific detection method for rice smut fungus

Professional Standard - Agriculture

• 1819药典 一部-2010 Appendix XIII E Abnormal Toxicity Test Method
• 270药典 三部-2020 Microbiological Test Method 1141 Abnormal Toxicity Test Method
• 278药典 三部-2010 Appendix Ⅻ ⅫF Abnormal toxicity test method
• 150药典 四部-2015 1100 biological test method 1141 abnormal toxicity test method
• 852兽药典 一部-2015 Appendix Contents 1100 Biological Test Method 1141 Abnormal Toxicity Test Method
• 138药典 四部-2020 1100 biological test method 1141 abnormal toxicity test method
• 816兽药典 二部-2015 Appendix Contents 1100 Biological Test Method 1111 Abnormal Toxicity Test Method
• 247药典 三部-2015 Microbiology Test Method 1141 Abnormal Toxicity Test Method 94
• 2372药典 二部-2010 Appendix Ⅺ C Abnormal toxicity test method

Group Standards of the People's Republic of China

• T/CACM 1294-2019 Clinical guidelines for diagnosis and treatment of spinal orthopedics in TCM spinal curvature derangement syndrome
• T/CASME 376-2023 X-ray inspection system for food
• T/DYZL 032-2023 Dongying City Product Oil Quality Traceability Management Platform Inspection and Detection Abnormal Data Analysis and Disposal Specification
• T/SSMTA 003-2023 X-ray inspection machine for footwear
• T/SMA 0044-2023 Technical guidelines for abnormal 35kV synchronous line loss rate investigation
• T/SMA 0032-2022 10kV Sub-line Synchronous Line Loss Rate Abnormal Troubleshooting Technical Guidelines
• T/CNTAC 94-2022 Testing and classifying the foreign fibers on grey yarn

工业和信息化部

• JB/T 20193-2019 Medical X-ray inspection machine

Professional Standard - Post and Telecommunication

• YD/T 2668-2013 Technical requirements on network abnormal flow detection and control

中华人民共和国国家质量监督检验检疫总局、中国国家标准化管理委员会

• GB/T 35533-2017 General technical requirement for chromosomal abnormality detection microarray

中华人民共和国国家卫生和计划生育委员会

• GB/T 16133-1995 Primary screening examination for defects of vertebral column among children and adolescents

Aeronautical Radio Inc.

• ARINC 640 ITEM 7.0 Process to Detect and Correct Anomalies

American National Standards Institute （ANSI)

• ANSI/AIAA S-102.2.11-2008 Performance-Based Anomaly Detection and Response Analysis

American Institute of Aeronautics and Astronautics (AIAA)

• AIAA S-102.2.11-2009 Performance-Based Anomaly Detection and Response Analysis

AIAA - American Institute of Aeronautics and Astronautics

• S-102.2.11-2009 Performance-Based Anomaly Detection and Response Analysis

BE-NBN

• NBN-ISO 226:1992 Acoustics. Normal equal-loudness level contours

SCC

• AWWA WQTC65781 Evaluation of Tools to Detect Distribution System Water Quality Anomalies
• DANSK DS/ISO 16269-4:2010 Statistical interpretation of data - Part 4: Detection and treatment of outliers

BR-ABNT

• ABNT MB-241-1972 Flexibility test (straightness)

RU-GOST R

• GOST R ISO 226-2009 Acoustics-Normal equal-loudness-level contours

British Standards Institution (BSI)

• BS ISO 16269-4:2010 Statistical interpretation of data. Detection and treatment of outliers

Korean Agency for Technology and Standards (KATS)

• KS K 0750-2006 Test method for the detection and assessment of photochromism

ASHRAE - American Society of Heating@ Refrigerating and Air-Conditioning Engineers@ Inc.

• ASHRAE OR-16-C079-2016 Chilled Water System Abnormality Detection with Machine Learning Algorithms

GB-REG

• REG NASA-LLIS-0396-1995 Lessons Learned - SIR-B Antenna Feed Anomaly
• REG NASA-LLIS-1803--2007 Lessons Learned ?CSAM Augments X-Ray Inspection of Die Attach (MRO Ka-Band Anomaly)

GSO

• GSO ISO 16269-4:2015 Statistical interpretation of data -- Part 4: Detection and treatment of outliers

RO-ASRO

• STAS 11278-1979 IDENTIFICATION OF OUTLIER MEASUREMENTS RESULTS

International Organization for Standardization (ISO)

• ISO 16269-4:2010 Statistical interpretation of data - Part 4: Detection and treatment of outliers

Danish Standards Foundation

• DS/ISO 16269-4:2010 Statistical interpretation of data - Part 4: Detection and treatment of outliers

AENOR

• UNE-ISO 16269-4:2015 Statistical interpretation of data -- Part 4: Detection and treatment of outliers

Others: Outlier Curve Detection,Abnormal water flow detection,Abnormal cyclic voltammetry curve,Abnormal dsc curve,abnormal curve,curve detection,abnormal curve,Abnormal front of dsc curve,dsc abnormal curve,Sound Anomaly Detection,Two-point method abnormal curve,Abnormal sound detection,Abnormal sound detection,Outlier Detection,Curve Anomaly Detection,Device Anomaly Detection,curve outliers,dsc abnormal curve,Detect data anomalies,Signal Anomaly Detection