Hitachi, Ltd.

Dic Corporation

Kouji Akita

Takashi Nakahara

Takanori Aono

Shinya Yuda

Akio Umino

Seiichi Uno

Yoshitaka Seki

Noriyuki Ichinose

Masami Hozumi

Tetsu Inahara

Kiyomi Abe

A learning unit in learning mode generates a cluster from a cluster analysis of data formed from frequency constituent data and state data, obtained from a sensor unit. An abnormality calculation unit computes, as abnormalities, the minimum values among distances to surfaces of the clusters of the data formed from the frequency constituent data and the state data, obtained when in predictive fault indicator sensing mode. A predictive fault indicator determination unit determines a predictive fault indicator of an X-ray tube by comparing the abnormalities with a predetermined threshold.

X-ray tube predictive fault indicator sensing device, X-ray tube predictive fault indicator sensing method, and X-ray imaging device

Provided are a resin composition with high adhesion to substrates under hot and humid conditions, a two-part laminate adhesive containing the resin composition, and a laminated film and backsheet for solar cells including a layer of the adhesive. The resin composition contains, as essential components, a polyester polyurethane polyol (A) having a branched structure in a molecule thereof and having a weight average molecular weight (Mw) of 25,000 to 200,000 and a molecular weight distribution (Mw/Mn) of 2.5 to 25; a hydroxyl-containing epoxy resin (B) having a number average molecular weight (Mn) of 300 to 5,000; a hydroxyl-containing polycarbonate resin (C) having a number average molecular weight (Mn) of 300 to 3,000; and a polyisocyanate (D).

Resin composition, two-pack type adhesive for laminates, multilayer film, and back sheet for solar cells

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Tokyo, Japan

Kouji Akita