Results 111 to 120 of about 1,151,537 (210)

Remaining useful life prediction and early warning model for high-speed railway contact system based on error-improved PSO-BiLSTM. [PDF]

Sci Rep
Liu L, Gan Y, Deng Z, Cheng P.
europepmc   +1 more source

An integrated analysis method for critical human factors and paths in hazardous chemical storage accidents based on association rule mining and bayesian networks. [PDF]

PLoS One
Ma S, Jiang W.
europepmc   +1 more source

Transformer maintenance strategy based on improved risk assessment method considering operation and maintenance costs. [PDF]

PLoS One
Guo H, Wang Y, Bo H, Zhang J, Yang Y, Guo Z.   +5 more
europepmc   +1 more source

Retrospective analysis of dental chair failures and usage patterns in academic dental clinics. [PDF]

Sci Rep
Massoud S, Ismaiel E, Al Kayal A.
europepmc   +1 more source

New approach for health assessment of high voltage motor using experimental case studies. [PDF]

PLoS One
Al-Ameri SM, Ramasamy M, Hamanah WM, Yousof MF, Ahmed Al-Gailani S, Salem AA.   +5 more
europepmc   +1 more source

Causal factors and configuration paths for chemical occupational accidents: grounded theory and fsQCA analysis of 154 cases in China. [PDF]

Front Public Health
Wang Y, Zheng C, Wang L.
europepmc   +1 more source

AI-Driven Medical Device Risk Management: A New Paradigm Integrating Large Language Models and Prompt Engineering for Standard-Risk Knowledge Graph Construction and Application. [PDF]

Risk Manag Healthc Policy
Zhu W, Zhang P, Xia W, Gao Z, Li W, Tian R, Wang L.   +6 more
europepmc   +1 more source

Scanning Electron Microscope, an Essential Equipment for Failure Analysis [PDF]

Microscopy and Microanalysis, 2018
openaire   +1 more source

Research on the Accelerated Fatigue Experiment Method of the Crankshaft Based on a Modified Particle Filtering Algorithm and the Fatigue Crack Growth Property. [PDF]

Materials (Basel)
Fu J, Sun S, Gong X, Shen S, Jiang N, Juan J.   +5 more
europepmc   +1 more source

Comparing deep learning and Fourier series models for equipment failure prediction in predictive industrial maintenance 4.0. [PDF]

Sci Rep
Abouloifa H, Bahaj M.
europepmc   +1 more source