Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Information processing device and information processing method

An information processing device and data technology, applied in the direction of electrical digital data processing, complex mathematical operations, calculation models, etc., can solve problems such as difficult to generate specimen subsequences

Active Publication Date: 2019-10-18
MITSUBISHI ELECTRIC CORP
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is a problem that it is difficult to generate an appropriate specimen subsequence that achieves a balance between diagnostic accuracy and processing time

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Information processing device and information processing method
  • Information processing device and information processing method
  • Information processing device and information processing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0030] figure 1 It is a figure which shows the structure of the information processing apparatus 10 which concerns on embodiment of this invention. The information processing device 10 has a data acquisition unit 101 , a sample error upper limit calculation unit 102 , a sample subsequence generation unit 103 , a statistical value calculation unit 104 , a storage unit 105 , a threshold value calculation unit 106 and a diagnosis unit 107 .

[0031] The information processing device 10 has a function of diagnosing the diagnosis object data D1 based on whether or not a waveform similar to the diagnosis object data D1 exists in the learning data D2 described later. figure 2 yes means figure 1 The figure which shows the outline|summary of the diagnosis of the diagnosis object data D1 by the information processing apparatus 10 uses the learning data D2 for this diagnosis. The diagnosis object data D1 is data to be a diagnosis object. The learning data D2 is data used as a referen...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

An information processing device (10) is characterized by being provided with: a data acquisition unit (101) which acquires input data that is time-series data; a sample error upper limit calculationunit (102) which, when similar learning partial sequences are to be selected from among a plurality of learning partial sequences and integrated together to produce sample partial sequences, calculates, using data extracted from the input data, a sample error upper limit, which is an upper limit of the differences between the similar learning partial sequences to be integrated together, wherein the plurality of learning partial sequences are partial sequences extracted from learning data that is time-series data; and a sample partial sequence generation unit (103) which generates sample partial sequences from the learning data using the sample error upper limit.

Description

technical field [0001] The present invention relates to an information processing device and an information processing method for diagnosing time-series data using predetermined data. Background technique [0002] There is a method of defining normal data in advance as learning data, and diagnosing whether or not the data to be diagnosed is normal based on whether or not there is a waveform similar to the data to be diagnosed in the learning data. For example, if sensor data acquired during normal operation of a production facility is used as learning data and sensor data of a production facility in operation is used as diagnostic data, abnormalities in the production facility can be detected. [0003] Whether or not there is a waveform similar to the diagnosis target data in the training data can be determined using the degree of difference between the subsequences extracted from the learning data and the diagnosis target data. Slide the range of subsequences extracted fro...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G05B23/02
CPCG05B23/024G06F11/0751G06F11/0736G06F2201/81G06N20/00G06F2218/00G06F18/23G05B19/4183G05B23/0221G05B23/0235G06F17/18G06F11/322G05B23/00
Inventor 增崎隆彦中村隆显那须督
Owner MITSUBISHI ELECTRIC CORP
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com