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2 SPECIFICATIONS
2.1 Functional Specifications
*1 Sequentially numbered files are read in the file name order. When records stored in the successively read files are continuous in time, it
is considered as one unit of waveform data.
*2 If the temporally consecutive record is less than 4 times of the unit waveform width, the section can not be analyzed and is discarded.
*3 When the stability of a waveform is low, the diagnosis precision is decreased and a false detection may be reported because the
tendency of waveforms can not be grasped within the number of records mentioned in this item. To solve this issue, increase the
number of records used for the learning.
*4 The data types that there are 500 steps or more from the minimum value to the maximum value are recommended.
*5 When a waveform that contains an extremely large or small value is diagnosed, a small change may not be applied to the similarity
score, or the similarity score may greatly be reduced because a slight change is considered as a large one.
*6 It is used as input data for the feedback function of Real-time Flow Manager.
*7 To provide feedback when at least one difference is detected in a result of similarity diagnosis, set the condition to 'DifferenceCount > 0'.
*8 When the diagnosis status is in the 'preparing for diagnosis' or 'suspended' state, the number of diagnosis results determined to be
different is counted as shown below according to each situation.
Before a diagnosis starts: The number is not counted since the diagnosis is not yet performed.
When a diagnosis status changed from 'similar' to 'suspended' or 'preparing for diagnosis': The number is not counted since the
diagnosis status is determined to be similar.
When a diagnosis status changed from 'different' to 'suspended' or 'preparing for diagnosis': The number is counted since the diagnosis
status is determined to be different.
*9 To provide feedback when a difference is detected in a result of specific similarity diagnosis, set the condition to 'Gap of a similarity score
and a similarity score threshold < 0'.
Real-time Statistic Diagnosis Tool
The following shows the functional specifications of Real-time Statistic Diagnosis Tool.
In the following table, MVA refers to the multivariate analysis (single central value format) of the simple analysis and simple
diagnosis, and GB refers to the guard band.
Item Specification
Response data
file
File name (Unit name)_(YYYY_mm_dd HH_MM_ss.ms
*1
).csv
Output data TIME Data type DATETIME
Output content End time of a diagnosis section (YYYY/MM/DD hh:mm:ss.ms)
RESULT Data type BOOL
Output content Value (1) indicating that an error is detected in a diagnosis
TYPE Data type INT
Output content Numeric value indicating the diagnosis type
• 1: Simple diagnosis (SPC)
• 2: Simple diagnosis (Guard band)
• 3: Simple diagnosis (Multivariate analysis (single central value
format), calculation type = T2)
• 4: Simple diagnosis (Multivariate analysis (single central value
format), calculation type = Q)
• 5: Simple diagnosis (Multivariate analysis (single central value
format), calculation type = KNN)
• 6: Simple diagnosis (Multivariate analysis (single central value
format), calculation type = MT)
• 7: Simple diagnosis (Multivariate analysis (single central value
format), calculation type = EU)
• 10: Analysis logic, diagnostic logic
NAME Data type STRING
Output content • Simple diagnosis:
Diagnosis name specified in a simple diagnosis
*2
• Analysis logic, diagnostic logic:
Logic name
*2