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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

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