找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: A Hybrid Approach for Power Plant Fault Diagnostics; Tamiru Alemu Lemma Book 2018 Springer International Publishing AG 2018 Computational

[復制鏈接]
查看: 51975|回復: 40
樓主
發(fā)表于 2025-3-21 18:11:13 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱A Hybrid Approach for Power Plant Fault Diagnostics
影響因子2023Tamiru Alemu Lemma
視頻videohttp://file.papertrans.cn/142/141267/141267.mp4
發(fā)行地址Presents a hybrid approach to power plant fault diagnostics.Applies computational intelligence and neuro-fuzzy methods to power engineering.Written by a respected expert in the field.Includes suppleme
學科分類Studies in Computational Intelligence
圖書封面Titlebook: A Hybrid Approach for Power Plant Fault Diagnostics;  Tamiru Alemu Lemma Book 2018 Springer International Publishing AG 2018 Computational
影響因子This book provides a hybrid approach to fault detection and diagnostics. It presents a detailed analysis related to practical applications of the fault detection and diagnostics framework, and highlights recent ?ndings on power plant nonlinear model identi?cation and fault diagnostics. The e?ectiveness of the methods presented is tested using data acquired from actual cogeneration and cooling plants (CCPs). The models presented were developed by applying Neuro-Fuzzy (NF) methods. The book offers a valuable resource for researchers and practicing engineers alike..
Pindex Book 2018
The information of publication is updating

書目名稱A Hybrid Approach for Power Plant Fault Diagnostics影響因子(影響力)




書目名稱A Hybrid Approach for Power Plant Fault Diagnostics影響因子(影響力)學科排名




書目名稱A Hybrid Approach for Power Plant Fault Diagnostics網(wǎng)絡(luò)公開度




書目名稱A Hybrid Approach for Power Plant Fault Diagnostics網(wǎng)絡(luò)公開度學科排名




書目名稱A Hybrid Approach for Power Plant Fault Diagnostics被引頻次




書目名稱A Hybrid Approach for Power Plant Fault Diagnostics被引頻次學科排名




書目名稱A Hybrid Approach for Power Plant Fault Diagnostics年度引用




書目名稱A Hybrid Approach for Power Plant Fault Diagnostics年度引用學科排名




書目名稱A Hybrid Approach for Power Plant Fault Diagnostics讀者反饋




書目名稱A Hybrid Approach for Power Plant Fault Diagnostics讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:44:46 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:06:23 | 只看該作者
Plant ecology at high elevations,n techniques are presented. This covers static and dynamic systems. Following that, the idea of developing nonlinear models in the framework of Orhonormal Basis Functions (OBF) is described. In Sect.?., basic theory of neural networks and fuzzy systems are elaborated. In the state of the art designs
地板
發(fā)表于 2025-3-22 08:37:50 | 只看該作者
Cell division and tissue formation,k of OBFs. It was stated that a good nonlinear model can be developed from plant operation data or a simulated output without knowing the model structure. However, the model alone is not enough for condition monitoring. In fact, the accuracy of a model is dependent on the estimated model parameters.
5#
發(fā)表于 2025-3-22 09:04:36 | 只看該作者
6#
發(fā)表于 2025-3-22 13:28:40 | 只看該作者
https://doi.org/10.1007/978-3-642-18970-8haracteristics of the system, variable operating conditions, signals from all possible sources and a diagnostic result with some imprecision targeted at emulating operators way of describing faulty conditions. To achieve the objective, the whole work was divided into sequence of steps. The first ste
7#
發(fā)表于 2025-3-22 17:24:16 | 只看該作者
8#
發(fā)表于 2025-3-22 21:43:24 | 只看該作者
Tamiru Alemu LemmaPresents a hybrid approach to power plant fault diagnostics.Applies computational intelligence and neuro-fuzzy methods to power engineering.Written by a respected expert in the field.Includes suppleme
9#
發(fā)表于 2025-3-23 04:04:35 | 只看該作者
10#
發(fā)表于 2025-3-23 07:09:18 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-24 22:46
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
鲜城| 侯马市| 日喀则市| 岢岚县| 新竹县| 页游| 罗山县| 城步| 田林县| 五峰| 苗栗市| 湄潭县| 库尔勒市| 灵丘县| 安阳县| 嘉禾县| 兰州市| 彭泽县| 东乡族自治县| 邹城市| 镇雄县| 屯门区| 广河县| 阿克苏市| 铁力市| 印江| 甘泉县| 开江县| 永州市| 江达县| 民乐县| 罗田县| 灵丘县| 池州市| 衡水市| 湛江市| 屏东县| 三台县| 绥棱县| 石首市| 花莲县|