Extranet Systems Inc.| Business Information in Hiroshima

Last updated : 02/19/2024

Extranet Systems Inc.

President: Takayoshi YAMAMOTO (Mr.)
Year established: 2005
Capital: 17,500,000 yen
Postal (zip) code: 730-0051
Company address: IT Otemachi bldg. 6F, 3-1-3 Otemachi, Naka-ku, Hiroshima-shi
Phone: 050-6864-7019
E-Mail: yamamoto@extranet.jp
URL: http://www.extranet.jp

Company PR

● With "correlation extraction method" as the core technology, we upgraded defect detection in the production line. Furthermore, by applying "causal analysis", we improved estimation accuracy of defects or abnormal factors, and started supporting creation of a mechanism that integrates operation and maintenance. Lubrication failure and misalignment of rotating machine are monitored by vibration data at existing plant., and "proactive maintenance (cause removal type)" is carried out easily.
■ We received the TPM Excellence Product Award (Development Award) from the Japan Institute of Plant Maintenance in 2014 !
■ Received Chairman's Award of the Japan Society for the Advancement of Inventions at the 45th Invention Award in 2019 (March 6, 2020)
● Main results of this service Total number of units as of the end of December 2021: 1450 units
● We started selling an automatic search-type potential failure detection app (from July 2019)
It is possible to select the optimum parameters for detecting failures without analysis experience.
●Developed and started sales of automatic estimation app for deterioration factors of rotating machine (from November 2023)
● Completed verification of fuel conversion plant monitoring function (detects signs of abnormality earlier than operators)
■“Condition monitoring technology based on correlation extraction method”; Review completed for “Research Report” by the Japan Society for Facility Management, scheduled to be published in February 2024 issue

We received the TPM Excellence Award from the Japan Institute of Plant Maintenance for our original degradation diagnosis service.

Smart monitoring device developed by licensed company.

Application example of automatic search type correlation extraction method-Tracking bearing deterioration.

Actual example of criteria in monitoring low-speed rotating equipment

Strengthening condition monitoring of equipment is a reliable method to improve environmental efficiency.

Major Products

Sales of potential failure detection apps in plant equipment and production lines

Deterioration diagnosis service and consulting for rotating machinery

Condition monitoring based on correlation extraction method and licensing of inspection functions

Development of the new monitoring system for the device type plant

Major Customers

METAWATER. CO., LTD.

TACHIKAWA GIKEN Co.,Ltd

Chiyoda Corporation

Daiko Denshi Tsushin, Ltd.

Technology Employed

Information service industry: Cause elimination type maintenance was easily realized by vibration with patented technology and DB:feature amounts being latent in the waveform spectrum as an index.
Information service industry: Monitoring techniques based on the relationship of the system and mechatronics parameter of plant device.
Information service industry: Causal analysis technology
Information service industry: Development of an extended correlation extraction method that greatly improves the sensitivity of defect detection on production lines

Primary Area of Technical Expertise

Major feature and effectiveness is to realize proactive maintenance using the vibration data by the degradation diagnosis service based on "correlation extraction method".
On the basis of the state-based maintenance,proactive maintenance comprises two elements, cause eleminating maintenance and predictive maintenance. Especially, by monitoring insufficient lubrication and axis misalignment, it becomes possible to early detect deteriorationof bearing parts,etc. and to take measures/repair at an appropriate time, which is to realize "Life extension of a machine with no trouble" so as to complete its original designed life. Furthermore, we can constructa causal model for an extracted factor group and estimate the cause of occurrence probability in combination with Bayesian inference.

Future Business Challenges

To help machine manufacturers to mount the sensor to their products and Consulting that adds value to after-sales service after shipment.

Provision of information to support construction of circulation type and low-carbon production systems.

To early detect abnormal signs of plant device. Consulting for early detection of potential abnormalities that operators may not notice.

Future Technical Challenges

Internet-associated service industry: Using signal separation technology, we can perform the applicable deterioration diagnosis by extracting only the necessary signal.
Information service industry: To put thecomprehensive diagnosis system for early detecting abnormal signs of plant device into practical use.
Information service industry: Commercialization of monitoring equipment for wind power generation systems

Other

5 patents registered .

(1) Method and apparatus for evaluating object of diagnosis : Patent No. 4049331
(2) Method and apparatus for totally diagnosing plant device : Patent No. 5753301
(3) Cause searching method for state change of object : Patent No. 6154523
(4) Integrated monitoring method of quality and equipment in production line : Patent application No. 6680430
(5) Method for building a circular/low-carbon production system in manufacturing industry: Patent No. 7054487

Search Results-Detail