✦ LIBER ✦

Shock models with MIFRA time to failure distributions

✍ Scribed by Moshe Shaked; J. George Shanthikumar

Publisher: Elsevier Science
Year: 1991
Tongue: English
Weight: 799 KB
Volume: 29
Category: Article
ISSN: 0378-3758
DOI: 10.1016/0378-3758(92)90130-k

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Mean time to failure formulas for standa

Mean time to failure formulas for standard reliability networks with erlangian distributed component failure times

✍ B.S. Dhillon 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 132 KB

A two-unit priority standby system subje

A two-unit priority standby system subject to random shocks and Releigh failure-time distribution

✍ Rakesh Gupta; Alka Chaudhary 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 385 KB

Compartmental models with phase-type res

Compartmental models with phase-type residence-time distributions

✍ Faddy, M. J. 📂 Article 📅 1990 🏛 John Wiley and Sons 🌐 English ⚖ 335 KB 👁 1 views

Shock models leading to non-monotonic ag

Shock models leading to non-monotonic ageing classes of life distributions

✍ Murari Mitra; Sujit K. Basu 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 395 KB

Estimation of time-to-failure distributi

Estimation of time-to-failure distribution derived from a degradation model using fuzzy clustering

✍ Shuo-Jye Wu; Tzong-Ru Tsai 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 100 KB 👁 1 views

Some life tests are terminated with few or no failures. In such cases, a recent approach is to obtain degradation measurements of product performance that may contain some useful information about product reliability. Generally degradation paths of products are modeled by a nonlinear regression mode

Analysis of a standby system with Raylei

Analysis of a standby system with Rayleigh down time and gamma failure time distributions

✍ Rakesh Gupta; Alka Chaudhary 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 245 KB