Catálogo de publicaciones - libros
Social Pacts, Employment and Growth: A Reappraisal of Ezio Tarantelli's Thought
Nicola Acocella ; Riccardo Leoni (eds.)
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Labor Economics; Economic Policy; Macroeconomics/Monetary Economics//Financial Economics
Disponibilidad
Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | 2007 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-7908-1915-1
ISBN electrónico
978-3-7908-1923-6
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2007
Información sobre derechos de publicación
© Physica-Verlag Heidelberg 2007
Cobertura temática
Tabla de contenidos
Searching for the EU Social Dialogue Model
Richard B. Freeman
Condition monitoring of machines provides knowledge about the condition of machines. Any deterioration in machine condition can be detected and preventive measures taken at an appropriate time to avoid catastrophic failures This is achieved by monitoring such parameters as vibration, wear debris in oil, acoustic emission etc. The changes in these parameters help in the detection of the development of faults, diagnosis of causes of problem and anticipation of failure. Maintenance/corrective actions can be planned accordingly. The application of condition monitoring in plants results in savings in maintenance costs, and improved availability and safety. The techniques covered in this chapter are performance, vibration, motor stator current, shock pulse, acoustic emission, thermography and wear debris monitoring. The instrumentation required, method of analysis and applications with some examples are explained. Signal processing techniques to gain more benefits of vibration monitoring are covered. Wear debris monitoring methods include magnetic plugs, ferrography, particle counter and spectrographic oil analysis.
Part V - For a Theory of Social Pacts | Pp. 221-238
From First- to Second-Generation Social Pacts
Nicola Acocella; Giovanni Di Bartolomeo; Patrizio Tirelli
Condition monitoring of machines provides knowledge about the condition of machines. Any deterioration in machine condition can be detected and preventive measures taken at an appropriate time to avoid catastrophic failures This is achieved by monitoring such parameters as vibration, wear debris in oil, acoustic emission etc. The changes in these parameters help in the detection of the development of faults, diagnosis of causes of problem and anticipation of failure. Maintenance/corrective actions can be planned accordingly. The application of condition monitoring in plants results in savings in maintenance costs, and improved availability and safety. The techniques covered in this chapter are performance, vibration, motor stator current, shock pulse, acoustic emission, thermography and wear debris monitoring. The instrumentation required, method of analysis and applications with some examples are explained. Signal processing techniques to gain more benefits of vibration monitoring are covered. Wear debris monitoring methods include magnetic plugs, ferrography, particle counter and spectrographic oil analysis.
Part V - For a Theory of Social Pacts | Pp. 239-251
Inflation Inertia, Monetary Policy and Market Competition: Tarantelli Revisited
Fabrizio Coricelli
Condition monitoring of machines provides knowledge about the condition of machines. Any deterioration in machine condition can be detected and preventive measures taken at an appropriate time to avoid catastrophic failures This is achieved by monitoring such parameters as vibration, wear debris in oil, acoustic emission etc. The changes in these parameters help in the detection of the development of faults, diagnosis of causes of problem and anticipation of failure. Maintenance/corrective actions can be planned accordingly. The application of condition monitoring in plants results in savings in maintenance costs, and improved availability and safety. The techniques covered in this chapter are performance, vibration, motor stator current, shock pulse, acoustic emission, thermography and wear debris monitoring. The instrumentation required, method of analysis and applications with some examples are explained. Signal processing techniques to gain more benefits of vibration monitoring are covered. Wear debris monitoring methods include magnetic plugs, ferrography, particle counter and spectrographic oil analysis.
Part VI - Alternative Solutions to Conflicts | Pp. 255-272
Creating the ‘Neo-Lisbon’ Economy
Robert M. Lindley
Condition monitoring of machines provides knowledge about the condition of machines. Any deterioration in machine condition can be detected and preventive measures taken at an appropriate time to avoid catastrophic failures This is achieved by monitoring such parameters as vibration, wear debris in oil, acoustic emission etc. The changes in these parameters help in the detection of the development of faults, diagnosis of causes of problem and anticipation of failure. Maintenance/corrective actions can be planned accordingly. The application of condition monitoring in plants results in savings in maintenance costs, and improved availability and safety. The techniques covered in this chapter are performance, vibration, motor stator current, shock pulse, acoustic emission, thermography and wear debris monitoring. The instrumentation required, method of analysis and applications with some examples are explained. Signal processing techniques to gain more benefits of vibration monitoring are covered. Wear debris monitoring methods include magnetic plugs, ferrography, particle counter and spectrographic oil analysis.
Part VI - Alternative Solutions to Conflicts | Pp. 273-288