LEADER 02199oam 2200457zu 450 001 9910139603603321 005 20241212215832.0 010 $a9781612842714 010 $a1612842712 035 $a(CKB)2550000000042230 035 $a(SSID)ssj0000669523 035 $a(PQKBManifestationID)12275329 035 $a(PQKBTitleCode)TC0000669523 035 $a(PQKBWorkID)10708526 035 $a(PQKB)10959350 035 $a(NjHacI)992550000000042230 035 $a(EXLCZ)992550000000042230 100 $a20160829d2011 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aConference Record of 2011 Annual IEEE Pulp and Paper Industry Technical Conference 210 31$a[Place of publication not identified]$cIEEE$d2011 215 $a1 online resource $cillustrations 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781612842721 311 08$a1612842720 330 $aA 'condensate load' (condensate in % of a totally full cylinder) over 1% accumulated inside the dryer cylinders of a paper machine is likely to produce a drive overload, eventually increasing the acceleration time or even producing an overload trip. This paper proposes and evaluates a confident online condensate estimation algorithm that gives updated information at preset speeds and when the transition to the rimming stage is detected. The experimental evaluation performed on a 500 mm diameter cylinder, with condensate load between 0.5% up to 25%, confirmed the ability of the algorithm to give accurate estimations within 0.5% intervals of condensate loads. The developed algorithm is a useful tool for the operators, allowing them to take the appropriate decisions according to the severity of the condensate accumulation detected. 606 $aPaper industry$vCongresses 606 $aPapermaking$vCongresses 615 0$aPaper industry 615 0$aPapermaking 676 $a676 702 $aIEEE Staff 801 0$bPQKB 906 $aPROCEEDING 912 $a9910139603603321 996 $aConference Record of 2011 Annual IEEE Pulp and Paper Industry Technical Conference$92530430 997 $aUNINA LEADER 04537nam 22006613u 450 001 9910975003603321 005 20260202112418.0 010 $a1-283-44782-7 010 $a9786613447821 010 $a0-08-057549-8 035 $a(CKB)2550000000087550 035 $a(EBL)886238 035 $a(OCoLC)162570882 035 $a(SSID)ssj0000636242 035 $a(PQKBManifestationID)12257383 035 $a(PQKBTitleCode)TC0000636242 035 $a(PQKBWorkID)10660849 035 $a(PQKB)10489314 035 $a(MiAaPQ)EBC886238 035 $a(EXLCZ)992550000000087550 100 $a20140113d2005|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHandbook of Self-Regulation 205 $a1st ed. 210 $aBurlington $cElsevier Science$d2005 215 $a1 online resource (814 p.) 300 $aDescription based upon print version of record. 311 08$a0-12-369519-8 327 $aFront Cover; Handbook of Self-Regulation; Copyright Page; Table of Contents; FOREWORD; ABOUT THE EDITORS; CONTRIBUTORS; Chapter 1. SELF-REGULATION: AN INTRODUCTORY OVERVIEW; PART I: GENERAL THEORIES AND MODELS OF SELF-REGULATION; Chapter 2. ATTAINING SELF-REGULATION: A SOCIAL COGNITIVE PERSPECTIVE; I. INTRODUCTION; II. THE STRUCTURE OF SELF-REGULATORY SYSTEMS; III. SOCIAL AND ENVIRONMENTAL INFLUENCES ON SELF-REGULATION; IV. DYSFUNCTIONS IN SELF-REGULATION; V. DEVELOPMENT OF SELF-REGULATORY SKILL; VI. FUTURE RESEARCH DIRECTIONS; VII. A CONCLUDING COMMENT 327 $aChapter 3. ON THE STRUCTURE OF BEHAVIORAL SELF- REGULATIONI. BEHAVIOR IS GOAL DIRECTED AND FEEDBACK CONTROLLED; II. HIERARCHICALITY AMONG GOALS; III. FEEDBACK CONTROL AND CREATION OF AFFECT; IV. CONFIDENCE AND DOUBT, PERSISTENCE AND GIVING UP; V. DYNAMIC SYSTEMS AND HUMAN BEHAVIOR; VI. CATASTROPHE THEORY; VII. CONCLUDING COMMENT; Chapter 4. ASPECTS OF GOAL NETWORKS: IMPLICATIONS FOR SELF-REGULATION; I. A STRUCTURAL ANALYSIS OF GOAL NETWORKS; II. SELF-REGULATORY CONSEQUENCES OF GOAL NETWORK STRUCTURE; III. INDIVIDUAL DIFFERENCES IN THE STRUCTURE OF GOALS AND MEANS 327 $aIV. COMPARISON TO OTHER PERSPECTIVES ON GOAL NETWORKSV. FUTURE DIRECTIONS: INTERPERSONAL GOALS; VI. CONCLUSION; Chapter 5. A FUNCTIONAL-DESIGN APPROACH TO MOTIVATION AND SELF-REGULATION: THE DYNAMICS OF PERSONALITY SYSTEMS AND INTERACTIONS; I. INTRODUCTION; II. DYNAMIC CONCEPTS IN CLASSICAL THEORIES OF MOTIVATION; III. ARISTOTLE'S DYNAMIC CONCEPTS; IV. PERSONALITY SYSTEMS INTERACTION THEORY; V. BACK TO THE FUTURE: FROM CONTENTS TO MECHANISMS; VI. CONCLUSION; Chapter 6. PERSONALITY, SELF- REGULATION, AND ADAPTATION: A COGN ITIVE - SOCIAL FRAMEWORK 327 $aI. FRAMEWORKS FOR PERSONALITY AND SELF-REGULATION RESEARCHII. SELF-REGULATION, TRAITS, AND COGNITIVE STRESS PROCESSES; III. PERSONALITY AND SELF-REGULATION OF REACTIONS TO LIFE STRESS; IV. PERSONALITY AND SELF-REGULATION IN PERFORMANCE ENVIRONMENTS; V. AGGRESSIVE BEHAVIOR; VI. CONCLUSIONS; Chapter 7. ORGANIZATION AND DEVELOPMENT OF SELF-UNDERSTANDING AND SELF-REGULATION: TOWARD A GENERAL THEORY; I. INTRODUCTION; II. THE ARCHITECTURE OF SELF-AWARE AND SELF-REGULATED SYSTEMS; III. DEVELOPMENT OF SELF-UNDERSTANDING AND SELF-REGULATION 327 $aIV. EXPLAINING THE DEVELOPMENT OF SELF-UNDERSTANDING AND SELF-REGULATIONV. CONCLUSIONS; Chapter 8. THE ROLE OF INTENTION IN SELF-REGULATION: TOWARD INTENTIONAL SYSTEMIC MINDFULNESS; I. SYSTEMS THEORY, SELF-REGULATION, AND MINDFULNESS; II. SELF-REGULATION; III. SELF-REGULATION TECHNIQUES AND POTENTIAL LIMITATIONS; IV. PSYCHOPHYSIOLOGICAL RESEARCH ON SELF-REGULATION - PHYSIOLOGY AND ENERGY; V. ELABORATION OF AN EXPANDED SELF-REGULATION MODEL: INTENTION; VI. INTENTION; VII. INTENTIONAL SYSTEMIC MINDFULNESS: MINDFULNESS QUALITIES AND SYSTEMIC PERSPECTIVES 327 $aVIII. APPLICATIONS OF INTENTIONAL SYSTEMIC MINDFULNESS TO SELF-REGULATION TECHNIQUES 330 $aHandbook of Self-Regulation 606 $aPsychology 606 $aSelf-control 606 $aSelf-Regulation 615 4$aPsychology. 615 4$aSelf-control. 615 4$aSelf-Regulation. 676 $a153.8 676 $a159.24 676 $a153.85 700 $aBoekaerts$b Monique$01890415 701 $aPintrich$b Paul R$01873849 701 $aZeidner$b Moshe$0223660 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910975003603321 996 $aHandbook of Self-Regulation$94532285 997 $aUNINA