Neural Network Patent for Industrial Equipment Lifespan Estimation
ChangeBridge: EPO Bulletin - AI & Computing (G06N)
Summary
The European Patent Office published Siemens Aktiengesellschaft's patent application EP4555441A1 for a neural network-based method and apparatus for estimating remaining useful life of industrial equipment. The patent covers AI/ML techniques for predictive maintenance of machinery and industrial systems. This is an A1 publication (European patent application with search report).
What changed
Siemens Aktiengesellschaft obtained European patent publication EP4555441A1 for a method and apparatus using neural networks to estimate the remaining useful life of industrial equipment. The patent application, filed by inventors FENG Cheng, WANG Fan, and HU Shengbo, was published March 25, 2026 and covers IPC classifications G05B 19/4065, G05B 23/02, G06N 3/04, and G06N 3/09 relating to industrial control systems and neural network implementations. The patent is designated for all European extension states.
This is an informational patent publication with no compliance requirements, deadlines, or penalties. Manufacturers and technology companies using AI for predictive maintenance should review the patent claims to assess potential licensing needs or design-around considerations for their own industrial equipment monitoring systems.
Source document (simplified)
METHOD AND APPARATUS FOR REMAINING USEFUL LIFE ESTIMATION AND COMPUTER-READABLE STORAGE MEDIUM
Publication EP4555441A1 Kind: A1 Mar 25, 2026
Applicants
Siemens Aktiengesellschaft
Inventors
FENG, Cheng, WANG, Fan, HU, Shengbo
IPC Classifications
G05B 19/4065 20060101AFI20260218BHEP G05B 23/02 20060101ALI20260218BHEP G06N 3/04 20230101ALI20260218BHEP G06N 3/09 20230101ALI20260218BHEP
Designated States
AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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